Robotic platform for automated optical transceiver inspection, validation, flashing, and labeling with root cause analysis and solution finding engines for optical transceiver troubleshooting

Abstract

A method can include: mounting an optical transceiver onto an optical transceiver connector using an articulating robotic arm; obtaining test results data for the optical transceiver based on an analysis of characteristics of the optical transceiver and one or more requirements of a deployment environment in which the optical transceiver is to be deployed, the characteristics of the optical transceiver comprising at least EEPROM parameters of the optical transceiver; initiating a flashing sequence that updates the EEPROM parameters of the optical transceiver or a firmware of the optical transceiver, via the optical transceiver connector, based on the test results data indicating that the optical transceiver fails to comply with the one or more requirements of the deployment environment; and upon completion of the flashing sequence, dismounting the optical transceiver from the optical transceiver connector using the articulating robotic arm.

Description

[0001] Attorney Docket No. 065015-501001 WO

[0002] ROBOTIC PLATFORM FOR AUTOMATED OPTICAL TRANSCEIVER INSPECTION, VALIDATION, FLASHING, AND LABELING WITH ROOT CAUSE ANALYSIS AND SOLUTION FINDING ENGINES FOR OPTICAL TRANSCEIVER TROUBLESHOOTING

[0003] CROSS-REFERENCE TO RELATED APPLICATION

[0004] This non-provisional patent application claims priority' to U.S. Provisional Patent Application No. 63 / 747,719. filed on January 21, 2025, the entire contents of which are incorporated herein by reference.

[0005] TECHNICAL FIELD

[0006] The present disclosure relates generally to optical transceivers, and more particularly, to a robotic platform for automated optical transceiver inspection, validation, flashing, and labeling with root cause analysis and solution finding engines for optical transceiver troubleshooting.

[0007] BACKGROUND

[0008] The rapid evolution of artificial intelligence (Al) has introduced significant infrastructural challenges with providing and maintaining the hardware and software components necessary to deploy Al-powered applications. Among these components, optical transceivers are crucial for connecting graphics processing unit (GPU) servers, storage servers, and network infrastructure between and within modem data centers. Optical transceivers enable rapid, long-distance communication of large quantities of data by using fiber optic technology to convert electrical signals into optical signals and vice versa. These interconnect devices come in a variety' of form factors and can be plugged into or embedded in a network device.

[0009] Importantly, the performance of these devices must be optimized on a regular basis in order to meet the ever-increasing demands of Al workloads. This includes frequently updating the firmware and electrically erasable programmable read-only memory' (EEPROM) settings on optical transceivers. A major scaling issue arises, however, when tens of thousands of transceivers need to be recoded and relabeled simultaneously to keep pace with evolving performance requirements.Attorney Docket No. 065015-501001 WO Current solutions are heavily reliant on manual intervention, making it challenging to manage this process efficiently and accurately at scale. This leads to inefficiencies, delays, and increased risk of performance degradation, as existing methods are not built to handle the volume required by today’s infrastructure. Additionally, identifying the root cause of problematic transceiver behavior in data centers ty pically requires deep expertise and years of practical experience from optical engineers. These experts are tasked with diagnosing a problem and then determining the correct firmware and EEPROM file needed to restore the transceiver to proper working order. Not surprisingly, the reliance on such specialized knowledge adds a bottleneck, as the expertise needed to manage and resolve these issues does not scale with the increasing complexity and number of transceivers in modem data centers.

[0010] At present, optical engineers at transceiver production companies operate in siloed environments, often guessing the appropriate firmware and EEPROM settings required for optimal performance across diverse hardware configurations. There are no integrated systems in place to analyze transceiver performance, environmental conditions, or root causes of issues. Additionally, the current state of the art does not leverage machine learning to improve the accuracy and reliability of recommended firmware and EEPROM settings. Properly trained machine learning algorithms could help correlate empirical field behavior, transceiver fix recommendations, and the efficacy of results. Without these advanced capabilities, engineers must rely on trial and error, leading to inefficiencies and a lack of scalability.

[0011] The physical process of updating transceivers is equally cumbersome. Individual or small stacks of printed circuit board (PCB) flashing boards are used to manually reprogram the firmware and EEPROM setings for each transceiver. Once recoded, the optical transceivers are manually relabeled, one at a time. This manual approach is labor-intensive, prone to human error, and simply cannot scale to meet the demands of modem Al data centers, where tens of thousands of transceivers may need to be recoded and relabeled simultaneously to ensure optimal operation.

[0012] SUMMARY

[0013] The present disclosure addresses the shortcomings outlined above by providing a robotic platform for automated optical transceiver inspection, validation, flashing, and labeling with root cause analysis and solution finding engines for optical transceiver troubleshooting. The presently disclosed root cause analysis engine can perform anAttorney Docket No. 065015-501001 WO

[0014] automated inspection of optical transceivers. If an issue with a particular transceiver is detected, the root cause analysis engine can leverage machine learning to identify a root cause and appropriate remediation based on factors such as the optical transceiver’s performance and environmental conditions. For example, the root cause analysis engine can recommend the appropriate firmware and EEPROM files that should be written to the transceiver for optimal operation in the specific environment in which the transceiver will be deployed. Upon identifying the optimal firmware or EEPROM parameters, the robotic platform can automatically flash a batch of transceivers with the new firmware or EEPROM settings utilizing an articulating arm, thus addressing both the volume and complexify of updates required in modem Al data centers, eliminating the aforementioned bottlenecks, and ensuring high-performance operation across various deployment environments.

[0015] In accordance with embodiments of the present disclosure, a method can include: mounting an optical transceiver onto an optical transceiver connector using an articulating robotic arm; obtaining test results data for the optical transceiver based on an analysis of characteristics of the optical transceiver and one or more requirements of a deployment environment in which the optical transceiver is to be deployed, the characteristics of the optical transceiver comprising at least EEPROM parameters of the optical transceiver; initiating a flashing sequence that updates the EEPROM parameters of the optical transceiver or a firmware of the optical transceiver, via the optical transceiver connector, based on the test results data indicating that the optical transceiver fails to comply with the one or more requirements of the deployment environment; and upon completion of the flashing sequence, dismounting the optical transceiver from the optical transceiver connector using the articulating robotic arm.

[0016] In some embodiments, the mounting, obtaining, initiating, and dismounting steps can be executed by a robotic platform including the articulating robotic arm and the optical transceiver connector.

[0017] The characteristics of the optical transceiver can be obtained using the robotic platform. In some embodiments, obtaining the characteristics of the optical transceiver can include detecting the EEPROM parameters of the optical transceiver via the optical transceiver connector. Further, in some embodiments, obtaining the characteristics of the optical transceiver can include obtaining an image of the optical transceiver using an image sensor of the robotic platform, and extracting a serial number of the optical transceiver from the image. Even further, in some embodiments, obtaining the characteristics of the optical transceiver can include measuring a bit error rate (BER) of the optical transceiver via theAttorney Docket No. 065015-501001 WO optical transceiver connector.

[0018] The one or more requirements of the deployment environment can be indicative of EEPROM parameters of the deployment environment, and obtaining the test results data for the optical transceiver can include comparing the EEPROM parameters of the optical transceiver with the EEPROM parameters of the deployment environment. In some embodiments, the test results data can be indicative of a mismatch between the EEPROM parameters of the optical transceiver and the EEPROM parameters of the deployment environment.

[0019] Furthermore, the one or more requirements of the deployment environment can be indicative of a bit error rate floor (BERF) of the deployment environment, obtaining the test results data for the optical transceiver can include comparing a BER of the optical transceiver measured via the optical transceiver connector with the BERF of the deployment environment. In some embodiments, the test results data can be indicative of the BER of the optical transceiver violating the BERF of the deployment environment.

[0020] Initiating the flashing sequence can include determining whether to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver based on the test results data, and updating either the EEPROM parameters or the firmware of the optical transceiver based on the determination.

[0021] Initiating the flashing sequence can include receiving an updated EEPROM or firmware file based on the one or more requirements of the deployment environment from a control device interfacing with the robotic platform, and updating the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver according to the received updated EEPROM or firmware file via the optical transceiver connector. In some embodiments, when the optical transceiver is mounted onto the optical transceiver connector, the optical transceiver connector can be configured to communicate with the optical transceiver via Inter-Integrated Circuit (I2C) protocol. Furthermore, in some embodiments, the robotic platform can be configured to translate universal serial bus (USB) instructions from the control device to I2C signals, enabling the control device to control the flashing sequence.

[0022] The optical transceiver connector can include pins configured to connect to the optical transceiver and is located in a flashing port within a printed circuit board (PCB) array of a flashing module of the robotic platform.

[0023] The robotic platform can include a plurality of modules including a dispenser module, a flashing module, and a labeling module, the flashing module configured to carryAttorney Docket No. 065015-501001 WO out the flashing sequence via the articulating arm and the optical transceiver connector. Furthermore, in some embodiments, the dispenser module can be configured to hold a plurality of input trays, each of which arranged in a stack and containing a plurality of optical transceivers, and to feed the plurality of input trays one at a time to the flashing module. In some embodiments, the method can further include acquiring the optical transceiver from a first input tray among the plurality of input trays using the articulating arm. The method can even further include after dismounting the optical transceiver from the optical transceiver connector, placing the optical transceiver back in the first input tray using the articulating arm.

[0024] In some embodiments, the labeling module can be configured to receive an input tray containing a plurality of flashed optical transceivers from the flashing module and to apply a label to each of the plurality of flashed optical transceivers using a label printer of the robotic platform, the label indicative of an original serial number of a flashed optical transceiver and updated EEPROM or firmware settings of the flashed optical transceiver. The method can further include: acquiring the optical transceiver from the input tray containing the plurality of flashed optical transceivers using a second articulating arm of the robotic platform; applying the label to the optical transceiver using the label printer; and placing the optical transceiver back in the input tray using the second articulating arm. The method can even further include after placing the optical transceiver back in the input tray using the second articulating arm, causing the input tray to be restacked with a plurality of input trays, each of which containing a plurality of optical transceivers having been flashed by the flashing module and labeled by the labeling module.

[0025] The method can further include initiating a root cause analysis process when the test results data indicate that the optical transceiver fails to comply with the one or more requirements of the deployment environment. In some embodiments, initiating the root cause analysis process can include detecting a root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment using the characteristics of the optical transceiver and the test results data as input to a machine learning-based model that is configured to predict a root cause for incompatibility between a particular optical transceiver and a particular deployment environment. Further, in some embodiments, the machine learning-based model can be trained using a training dataset comprising, in part, results of testing optical transceiver compatibility and performance across different deployment environments. Even further, the method can include initiating a solution finding process when a root cause of the optical transceiver failing to comply withAttorney Docket No. 065015-501001 WO

[0026] the one or more requirements of the deployment environment is detected.

[0027] Additionally, initiating of the solution finding process can include determining a solution for addressing the root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment using the root cause, the characteristics of the optical transceiver, and the test results data as input to a machine learning-based model that is configured to predict solutions for solving incompatibility between a particular optical transceiver and a particular deployment environment. In some embodiments, a solution determined by the solution finding process can include flashing the optical transceiver to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver, which is carried out via the flashing sequence.

[0028] The deployment environment can include a data center, as an example.

[0029] In accordance with further embodiments of the present disclosure, a robotic platform can include: an optical transceiver connector including pins configured to connect to an optical transceiver and located in a flashing port within a printed circuit board (PCB) array of the robotic platform; and an articulating robotic arm configured to acquire an optical transceiver from an input tray, mount the optical transceiver onto the optical transceiver connector, dismount the optical transceiver from the optical transceiver connector, and place the optical transceiver back in the input tray.

[0030] The optical transceiver connector can be configured to update EEPROM parameters of the optical transceiver or a firmware of the optical transceiver according to a flashing sequence when the optical transceiver is mounted onto the optical transceiver connector. The articulating robotic arm can be further configured to dismount the optical transceiver from the optical transceiver connector upon completion of the flashing sequence.

[0031] In some embodiments, the robotic platform can further include a flashing module configured to receive the input tray, the flashing module comprising the articulating robotic arm and the optical transceiver connector. Furthermore, the robotic platform can further include a dispenser module comprising an input tray holding apparatus configured to hold a plurality of input trays, each of which arranged in a stack and containing a plurality of optical transceivers. The flashing module can be further configured to receive the input tray among the plurality of input trays from the dispenser module. Even further, the flashing module and the dispenser module can be operatively coupled to each other via one or more conveyor belts.

[0032] In some embodiments, the robotic platform can further include a labeling module arranged to receive the input tray from the flashing module. The labeling module canAttorney Docket No. 065015-501001 WO

[0033] include a label printer configured to apply a label to the optical transceiver having been flashed according to a flashing sequence by the flashing module. The label can be indicative of an original serial number of the optical transceiver and updated EEPROM or firmware settings of the optical transceiver. Furthermore, the flashing module and the labeling module can be operatively coupled to each other via one or more conveyor belts.

[0034] In accordance with yet further embodiments of the present disclosure, a system can include a robotic platform comprising an articulating robotic arm and an optical transceiver connector, the articulating robotic arm configured to mount an optical transceiver onto the optical transceiver connector, the optical transceiver configured to update EEPROM parameters of the optical transceiver or a firmware of the optical transceiver according to a flashing sequence, and the articulating robotic arm further configured to dismount the optical transceiver from the optical transceiver connector upon completion of the flashing sequence; and a control device configured to interface with the robotic platform, the control device comprising a memory storing program instructions and a processor configured to execute the program instructions, which when executed cause the control device to initiate the flashing sequence via the robotic platform.

[0035] When test results data indicate that the optical transceiver fails to comply with one or more requirements of a deployment environment in which the optical transceiver is to be deployed, the control device can be further configured to initiate a machine-learning based root cause analysis process configured to detect a root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment, using characteristics of the optical transceiver and the test results data as input. Furthermore, the control device can be further configured to initiate a machine-learning based solution finding process configured to determine a solution for addressing the root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment, using the root cause, the characteristics of the optical transceiver, and the test results data as input. Even further, the solution determined by the solution finding process can include flashing the optical transceiver to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver, which is carried out via the flashing sequence.

[0036] BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The embodiments herein may be better understood by referring to the followingAttorney Docket No. 065015-501001 WO description in conjunction with the accompanying drawings in which like reference numerals indicate identically or functionally similar elements, of which:

[0038] FIG. 1 is a perspective view of a robotic platform for automated optical transceiver inspection, validation, flashing, and labeling according to embodiments of the present disclosure;

[0039] FIG. 2A is an isolated perspective view of a dispenser module of the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0040] FIG. 2B is a cross-sectional perspective view of the dispenser module of FIG. 2A alongside a flashing module of the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0041] FIGS. 3A-3E are operational views of the dispenser module of FIG. 2A acquiring and dispensing an input tray containing optical transceivers from a stack of such input trays according to embodiments of the present disclosure;

[0042] FIG. 4 A is an isolated perspective view' of the flashing module of FIG. 2B according to embodiments of the present disclosure;

[0043] FIG. 4B is a perspective view of an articulating robotic arm of the flashing module of FIG. 2B according to embodiments of the present disclosure;

[0044] FIG. 4C is a cross-sectional perspective view of the flashing module of FIG. 2B disposed between the dispenser module of FIG. 2A and an idler module of the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0045] FIG. 5 A is an isolated perspective view of the idler module of FIG 4B according to embodiments of the present disclosure;

[0046] FIG. 5B is a cross-sectional perspective view' of the idler module of FIG. 4B alongside a labeling module of the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0047] FIG. 6A is an isolated perspective view of the labeling module of FIG. 5B according to embodiments of the present disclosure;

[0048] FIG. 6B is a perspective view of an articulating robotic arm of the labeling module of FIG. 5B according to embodiments of the present disclosure;

[0049] FIG. 6C is a cross-sectional perspective view of the labeling module of FIG. 5B alongside a restacking module of the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0050] FIG. 7 is an isolated perspective view of the restacking module of FIG. 6C according to embodiments of the present disclosure;Attorney Docket No. 065015-501001 WO

[0051] FIGS. 8A-8D are operational views of the restacking module of FIG. 6C stacking input trays containing flashed and labeled optical transceivers according to embodiments of the present disclosure;

[0052] FIG. 9 is an isolated perspective view of an input tray containing optical transceivers for use in conjunction with the robotic platform of FIG. 1 according to embodiments of the present disclosure;

[0053] FIG. 10 is a side view of the input tray of FIG. 9 arranged in a stack with other such input trays according to embodiments of the present disclosure;

[0054] FIGS. 11 A and 1 IB are flowcharts illustrating a simplified process for automated optical transceiver inspection according to embodiments of the present disclosure;

[0055] FIG. 12 is a flowchart illustrating a simplified process for optical transceiver diagnosis, root cause analysis, and remediation according to embodiments of the present disclosure;

[0056] FIG. 13 is a flowchart illustrating a simplified process for providing engineering support and troubleshooting according to embodiments of the present disclosure;

[0057] FIGS. 14A-14D are flowcharts illustrating simplified processes for implementing continuous system improvements for the robotic platform of FIG. 1 and associated root cause analysis engine; and

[0058] FIG. 15 is a diagram illustrating a simplified system-level architecture including the robotic platform of FIG. 1 and a control device according to embodiments of the present disclosure.

[0059] It should be understood that the above-referenced drawings are not necessarily to scale, presenting a somewhat simplified representation of various preferred features illustrative of the basic principles of the disclosure. The specific design features of the present disclosure, including, for example, specific dimensions, orientations, locations, and shapes, will be determined in part by the particular intended application and use environment.

[0060] DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present disclosure. Further, throughout the specification, like reference numerals refer to like elements.Attorney Docket No. 065015-501001 WO

[0062] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms “a,” "an." and ‘‘the’’ are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and / or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It will be further understood that the term “coupled” (or “connected,” “attached,” or the like), when used in this specification, encompasses both direct couplings (e.g., two objects in direct contact with each other) and indirect couplings (e.g., two objects not in direct contact with each other but indirectly coupled via an intermediate object), unless explicitly stated otherwise. As used herein, the term “and / or” includes any and all combinations of one or more of the associated listed items.

[0063] Additionally, it is understood that one or more of the below methods, or aspects thereof, may be executed by at least one control device. The term “control device” may refer to a hardware device that includes a memory and a processor. The memory' is configured to store program instructions, and the processor is specifically programmed to execute the program instructions to perform one or more processes which are described further below. Moreover, it is understood that the below methods may be implemented within and executed by a computer or other device comprising the control device in conjunction with one or more additional components, as described in detail below.

[0064] Furthermore, the control device of the present disclosure may be embodied as non-transitory computer readable media on a computer readable medium containing executable program instructions executed by a processor, controller or the like. Examples of the computer readable mediums include, but are not limited to, ROM, RAM, compact disc (CD)-ROMs, magnetic tapes, floppy' disks, flash drives, smart cards and optical data storage devices. The computer readable recording medium can also be distributed in network coupled computer systems so that the computer readable media is stored and executed in a distributed fashion, e.g., by a telematics server or a Controller Area Network (CAN).

[0065] Additionally, the term “module” may refer to a hardware device configured to perform specific tasks either as a standalone device or in conjunction with at least one other module. Operation of the module may be controlled by one or more control devices, as described herein. The one or more control devices may be embedded within the module, or the module may be in communication with a remotely located control device (e.g., via aAttorney Docket No. 065015-501001 WO computer network).

[0066] Referring now to embodiments of the present disclosure, the robotic platform and root cause analysis and solution finding engines discussed herein address a critical need in Al infrastructure for recoding firmware and EEPROM settings on tens of thousands of optical transceivers at a time, achieving significant improvements in scalability over current manual processes, which are time-consuming, labor-intensive, and rely on scarce resources of a few highly skilled engineers. The robotic platform discussed herein also automates a relabeling procedure so batches of newly recoded transceivers can be logged and tracked. By automating these processes as disclosed herein, large-scale firmware and EEPROM updates can be performed efficiently, accurately, and entirely in house, rather than outsourcing the optical transceivers back to original design manufacturers (ODMs). often located overseas, for firmware updates which introduces significant delays, logistical challenges, and additional costs. The platform discussed herein can eliminate this bottleneck of overseas processing and greatly reduce time-to-market.

[0067] Furthermore, an automated inspection of an optical transceiver can be performed to determine whether the transceiver complies with requirements of a deployment environment in which the transceiver is to be deployed. In response to detection of a problem with a given transceiver, the root cause analysis engine discussed herein can leverage machine learning to identify the root cause of the problematic transceiver failing to satisfy a requirement of the deployment environment. The engine can further utilize machine learning to recommend valid firmware or EEPROM settings for recoding the transceiver using the robotic platform to remedy the non-compatibility. The root cause analysis and solution finding engines discussed herein can also employ a feedback loop that continuously improves the reliability and validity of its root cause analysis. Thus, as the predictive engines are used, it can learn from the results and user feedback to make more accurate inferences and firmware and EEPROM recommendations, ensuring that the system becomes increasingly effective over time and reducing the reliance on manual expertise.

[0068] FIG. 1 is a perspective view of a robotic platform 100 for automated optical transceiver inspection, validation, flashing, and labeling according to embodiments of the present disclosure. Operationally, the robotic platform 100 can operate autonomously given basic command inputs, such as a firmware file or EEPROM bin file, to flash and label optical transceivers using a series of robotic modules, each of which is programmed to perform a particular task. Some of the modules of the robotic platform 100 can include articulating robotic components (e.g., arms) capable of handling the optical transceivers and performingAttorney Docket No. 065015-501001 WO

[0069] designated operations, as described herein. In some embodiments, the robotic platform 100 can flash and label the transceivers in response to a recommendation by a root cause analysis engine, as described herein, for a firmware or EEPROM update. Such recommendation can be issued due to a compatibility issue with a deployment environment in which the transceiver will be deployed, such as a data center, a customer application, or the like, detected during an inspection process, as described herein.

[0070] As shown in FIG. 1, the robotic platform 100 can consist of several robotic modules individually programmed to perform specific tasks and operatively coupled to one another so as to collectively carry7out the flashing and labeling functions of the platform 100. These robotic platforms can include, for instance, a dispenser module 200, a flashing module 300, an idler module 400, a labeling module 500. and a restacking module 600. Additional robotic modules are also envisioned to extend the functionality of the robotic platform 100, and therefore the specific modules listed herein are not intended to limit the scope of the present claims. Furthermore, it should be appreciated that the modular design of robotic platform 100 allows for each module, and thus the system as a whole, to be scaled-up as needed.

[0071] The modules 200-600 can be arranged in a sequential fashion, as shown, such that an optical transceiver or a batch of optical transceivers is first processed by the dispenser module 200, followed by the flashing module 300, and so on. Each robotic module can include a movement means, such as a conveyor belt or the like, configured to move or handoff the optical transceivers from one module to the next. In this way, the optical transceivers can be processed by each module sequentially and without manual (i. e. , human) intervention.

[0072] Specifically, the modules of the robotic platform 100 can automate the flashing of optical transceivers needing a firmware or EEPROM update and the labeling of flashed transceivers. The modules can further automate the processing of stacked input trays of optical transceivers, such that individual trays are processed one at a time, and then the restacking of processed trays of transceivers, all of which can be achieved with a high level of throughput (e.g., 300 transceivers per hour with a ten-minute flashing time, 600 transceivers per hour with a five-minute flashing time, etc.).

[0073] The robotic platform 100 therefore provides a comprehensive optical transceiver processing system that automates both the flashing and labeling of large volumes of optical transceivers that have been designated as needing updated firmware for specific customer applications, optimizing efficiency and ensuring data integrity7across firmware updates. Ultimately, the robotic platform 100 and its constituent modules can ensure that each transceiver meets the required specifications of the deployment environment beforeAttorney Docket No. 065015-501001 WO

[0074] advancing to subsequent production stages.

[0075] Beginning with the dispenser module of the robotic platform 100. FIG. 2A is an isolated perspective view of the dispenser module 200 according to embodiments of the present disclosure. As shown, the dispenser module 200 can be configured to receive optical transceivers as input, and particularly, a batch of optical transceivers. This allows for a large volume of optical transceivers to be processed at once. It is w ell-known that optical transceivers are produced in many different configurations and form factors depending on their end use, and the robotic platform 100 can be configured to receive and process any such type of transceiver, including QSFP transceivers, QSFP+ transceivers, SFP transceivers, SFP+ transceivers, and so on. In some embodiments, the batch of optical transceivers received by the dispenser module 200 can include a stack of optical transceivers trays.

[0076] Referring briefly to FIGS. 9 and 10, FIG. 9 is an isolated perspective view of an input tray 20 containing optical transceivers 10 for use in conjunction with the robotic platform 100 according to embodiments of the present disclosure, w hile FIG. 10 is a side view of the input tray 20 arranged in a stack 30 with other such input trays 20 of optical transceivers 10 according to embodiments of the present disclosure. As shown in FIG. 9, individual optical transceivers 10 can be arranged within a single input 20. The input tray 20 can be variously configured with different capacities and arrangements as desired. For example, the input tray 20 can include tw o row s of optical transceiver channels, each with capacity to hold ten optical transceivers 10, resulting in a total capacity of 20 optical transceivers, as shown. The optical transceivers 10 can be releasably held within the input tray 20 such that the articulating robotic arm of the flashing module 300, as described below-, can grasp and remove each transceiver for flashing, and the removed transceiver can be re-inserted into the tray 20 after flashing.

[0077] Importantly, the input tray 20 of optical transceivers 10 can be configured for stacking with other such trays 20. As shown in FIG. 10, multiple input trays 20 of optical transceivers 10 can be arranged in a stack 30 to allow' for efficient batch processing of the transceivers. Although five trays 20 are depicted in the stack 30, any number of trays 20 may be stacked together. In some embodiments, the input trays 20 can be formed with interlocking features 25 that interact each interlocking features of an adjacent input tray 20 to releasably interlock the trays to each other. The interlocking features 25 may be disposed on various locations of the trays 20, such as the center and perimeter, as shown. The interlocking features 25 may structurally vary. For example, interlocking features 25 can include corresponding projections and indentations (e.g., interlocking features 25a) such that adjacent trays fit ontoAttorney Docket No. 065015-501001 WO one another. The interlocking features 25 may also include any other suitable interlocking means such as a detent, a latch, a pin, and so on. In addition to allowing the trays 20 to be arranged in an organized stack 30, the interlocking features 25 can also ensure proper orientation of the trays 20 and the transceivers 10 therein. Specifically, the interlocking features 25 can be configured such that the trays 20 can only be stacked in a certain orientation (e.g., facing upward with all transceivers 10 oriented in the same direction) to allow for efficient and repeatable processing by the modules of the robotic platform 100. In addition, the interlocking features 25 may include features (e.g., interlocking features 25b) configured to interact with the robotic modules 200-600 during the processing of the trays 20, as described further below.

[0078] Referring back to FIG. 2A. the dispenser module 200 can receive a stack 30 of input trays 20 of optical transceivers 10 as shown. The stack 30 being provided to the dispenser module 300 can include any number of trays 20 (e.g., 20, 40, 60, etc.). The fundamental purpose of the dispenser module 200 can be to feed one tray 20 of optical transceivers 10 from the stack 30 at a time to the flashing module 300, in the direction as shown in FIG. 2A. This is further illustrated in FIG. 2B which is a cross-sectional perspective view of the dispenser module 200 alongside the flashing module 300 according to embodiments of the present disclosure. As shown in FIG. 2B, the dispenser module 200 can feed input trays 20 one at a time from the bottom of the stack 30 to the flashing module 300 for flashing of the optical transceivers 10 contained therein. The individual trays 20 can be transferred along a conveyor belt 205, or other movement means, of the dispenser module 200 to an adjacent conveyor belt 305, or other reciprocal movement means, of the flashing module 300. In an alternative embodiment, the robotic platform 100 can include a single conveyor belt shared by each of the modules of the platform 100 described herein. Moreover, the dispenser module 200 can be configured to allow additional trays 20 of optical transceivers 100 to be placed atop the stack 30 currently loaded into the module 200 without interrupting the assembly line, thus increasing the overall processing capacity' of the robotic platform 100.

[0079] An illustrative example is provided FIGS. 3A-3E which include operational views of the dispenser module 200 acquiring and dispensing an input tray 20 from a stack 30 of such input trays according to embodiments of the present disclosure. It should be understood that the sequence of events shown in FIGS. 3A-3E only represents a single mode of operation for the dispenser module 200, provided merely for demonstration purposes, and thus does not limit the scope of the present claims.

[0080] First, in FIG. 3A, the dispenser module 200 receives a stack 30 of input trays 20Attorney Docket No. 065015-501001 WO

[0081] containing optical transceivers 10. Each tray 20 can be arranged in the same orientation by virtue of the trays’ interlocking features 25, as described above. The stack 30 of trays 20 can be held above the conveyor belt 205 by a tray holder 215 configured to pivot about a pivot point. In alternative embodiments, the tray holder 615 can be configured to slide linearly inwardly and outwardly relative to the dispenser module 200, similar to the tray holder 615 (e.g., see FIGS. 81-8D). Here, the tray holder 215 is shown in a loaded position, as a downward force is applied to the tray holder 215 by the stack 30 of trays 20. In some embodiments, the tray holder 215 can include a projection that extends from an upper surface thereof. The proj ection can be fashioned to interact with one of the interlocking features (e.g., interlocking feature 25b) of a given tray 20, such that the bottom tray 20 is held in place via the tray holder 215, which in turn holds the entire stack 30 of trays in place, as shown in FIG. 3A. Furthermore, in some embodiments, the dispenser module can include multiple tray holders 215 disposed at different locations (e.g., on opposing sides of the trays 20), as shown in the figures. Additionally, a movable tray platform 210 can be positioned in a first position with its upper surface proximate to an upper surface of the conveyor belt 205. The tray platform 210 can be configured to translate linearly upwardly or downwardly (i.e., toward the stack 30 or away from the stack 30) allowing the tray platform 210 to contact the lowermost tray 20 in the stack 30, as demonstrated below.

[0082] Second, in FIG. 3B, the tray platform 210 moves from the first position to a second position by translating upwardly toward the stack 30 and away from the upper surface of the conveyor belt 205. In this position, the upper surface of the tray platform 210 can come into contact with a bottom surface of the lowermost tray 20 in the stack 30. Movement of the tray platform 210 can be effected by any suitable mechanical means, such as, for instance, a motor assembly, a pressure-activated means, a pneumatic assembly, and so on.

[0083] Third, in FIG. 3C, the tray platform 210 moves from the second position to a third position by continuing to translate away from the conveyor belt 205, thereby pushing upwardly the bottom surface of the lowermost tray 20, and in effect, pushing the entire stack 30 upwardly. As the stack 30 is moved upwardly via the tray platform 210, the stack 30 is thus positioned above the pivoting tray holder 215. This movement of the stack 30 can cause the tray holder 215 to pivot to an unloaded position by relieving the downward force previously applied to the tray holder 215 by the stack 30. In some embodiments, the tray holder 215 can be spring-loaded, such that a spring (not shown) is biased to return the tray¬ holder 215 to the unloaded position shown in FIG. 3C. In other embodiments, the tray holder 215 can include physical blocking elements (not show n) that limit the range of movement ofAttorney Docket No. 065015-501001 WO the tray holder 215.

[0084] Fourth, in FIG. 3D, the tray platform 210 moves from the third position to a fourth position by translating downwardly toward the upper surface of the conveyor belt 205. As the tray platform 210 moves in this direction back toward the conveyor belt 205, which in turn causes the stack 30 to move in the same dow nw ard direction, the low ermost tray 20 in contact ith the tray platform 210 is permitted to pass by the upper projection of the tray holder 215 since the tray holder 215 has pivoting to the unloaded position shown in FIG. 3C. However, as the tray platform 210 and the stack 30 continue to move downwardly toward the conveyor belt 205, an outer wall of the lowermost tray 20 can come into contact with a lower portion of the tray holder 215 which has been rotated into the stack’s path of travel. As the tray platform 210 continues to move lower, the movement of the lowermost tray 20 can push low er portion of the tray holder 215, causing the tray holder 215 to pivot back to the loaded position. Furthermore, as shown in FIG. 3D, the tray holder 215 can once again support the stack 30 of trays 20 (e.g., via the projection of the tray holder 215 extending into the interlocking feature 25b of the lowermost tray 20), except the stack 30 now has a new lowermost tray 20, as the previous low ermost tray 20 has now passed below the tray holder 215 as the tray platform 210 moves downwardly toward the conveyor belt 205.

[0085] Fifth, in FIG. 3E, the tray platform 210 moves from the fourth position back to the first position with its upper surface proximate to the upper surface of the conveyor belt 205. In doing so, the tray holder 210 can effectively release the tray 20, as the upper surface of the tray holder 210 is slightly lower than the upper surface of the conveyor belt 205. As the tray 20 is placed onto the moving conveyor belt 205, the tray 20 can be transferred from the dispenser module 200 to the flashing module 300, as generally shown in FIG. 2B. This process can be repeated in an automated fashion, without manual intervention, for each of the trays 20 within the stack 30 loaded in the dispenser module 200.

[0086] Following the dispenser module 200 in the sequence of robotic modules of the robotic platform 100 is the flashing module 300. FIG. 4A is an isolated perspective view' of the flashing module 300 according to embodiments of the present disclosure. The flashing module 300 can be configured to receive a tray 20 of optical transceivers 10 from the dispenser module 200, as described above, and initiate a flashing sequence in which the robotic platform 100 updates the EEPROM settings or firmware settings of an optical transceiver. As shown, the flashing module 300 can hold multiple trays of transceivers at a given time. This allows for automated recoding of optical transceivers in bulk to address faulty Al-optical interconnect caused by incompatibility between the transceiverAttorney Docket No. 065015-501001 WO

[0087] configuration and the deployment environment. Moreover, although referred to herein as a “flashing module,” the functionality of the flashing module 300 is not limited solely to flashing. Indeed, the flashing module 300 is configured to perform other operations essential to the robotic platform 100 including inspection, testing, and validation of the incoming optical transceivers. Each of these processes will be described in greater detail below.

[0088] Central to the functionality of the flashing module 300 is an articulating robotic arm (or “articulating arm”) 310 configured to implement the inspection, testing, validation, and flashing sequences in an automated fashion, thus streamlining and significantly enhancing the efficiency of these processes. The articulating arm 310 can include circuitry necessary' to allow for its control by instructions (e.g., instructions 1570) provided by a control device (e.g., control device 1500) configured to interface with the robotic platform 100, to be described in greater detail below.

[0089] In some embodiments, the articulating arm 310 can be configured to move in various dimensions, including along an x-axis (e.g., left and right), ay-axis (e.g., up and down), and a z-axis (e.g., forward and back), in relation to the flashing module 300. The articulating arm 310 can be motorized, for example, thereby powering the movements of the articulating arm 310 in various different directions as instructed by the control device.

[0090] In detail, FIG. 4B is a perspective view of the articulating arm 310 according to embodiments of the present disclosure. As show n, movement of the articulating arm 310 can be carried out by a movement assembly enabling the articulating arm 310 to translate in any such direction. In some embodiments, the movement assembly can include multiple arm movement guidance members 311, 312, 313 extending in different directions along which the articulating arm 310 can move. For example, the arm movement guidance member 311 can extend along the x-axis (e.g., left and right), the arm movement guidance member 312 can extend along the z-axis (e.g., forward and back), and the arm movement guidance member 313 can extend along the y-axis (e.g., up and down). It should be appreciated that the movement assembly for guiding movement of the articulating arm 310 can include any number of arm movement guidance members extending in any direction as desired.

[0091] The arm movement guidance members 311, 312, 313 may be configured in various ways to facilitate movement of the articulating arm 310. For instance, any one or more of the arm movement guidance members 311, 312, 313 can include a track that is shaped and sized to receive a corresponding projection piece projecting from a different member, allowing the arm movement guidance members and articulating arm 310 to work in conjunction with each other. For instance, as shown, the arm movement guidance member 312 can include a trackAttorney Docket No. 065015-501001 WO 312a formed within and extending along the length thereof. Correspondingly, the arm movement guidance member 311 can include a projection piece 311b that is shaped and sized to fit within the track 312a. The arm movement guidance member 311 is thus able to move along the length the track 312a of the arm movement guidance member 312, thereby enabling the articulating arm 310 to move along the z-axis. Similarly, the arm movement guidance member 311 can include a track 311a formed within and extending along the length thereof. Correspondingly, the arm movement guidance member 313 can be mounted on a sliding member 314 that includes a projection piece 314b that is shaped and sized to fit within the track 311a. The sliding member 314 is thus able to move along the length the track 311 a of the arm movement guidance member 311, thereby enabling the articulating arm 310 to move along the x-axis. Lastly, the arm movement guidance member 313 can include a track 312a formed within and extending along the length thereof. Correspondingly, the articulating arm 310 itself can include a projection piece (obscured in figures) that is shaped and sized to fit within the track 313a. The articulating arm 310 is thus able to move along the length the track 313a of the arm movement guidance member 313. thereby enabling the articulating arm 310 to move along the y-axis.

[0092] Furthermore, as shown, the articulating arm 310 can include a grabbing mechanism 315 allowing the articulating arm 310 to acquire one or more optical transceivers from an input tray 20 for flashing and then place the optical transceiver back in the input tray 20 after flashing. The grabbing mechanism 315 can be configured in various ways so as to grab and thus remove each optical transceiver from the tray received from the dispenser module 200 such as with movable ‘'fingers” that releasably hold the edges of the transceivers, with pins that are fashioned to plug into corresponding openings in the transceiver body, using a suction means, or any other means suitable for acquiring the transceivers 10 from the tray 20 for processing.

[0093] As an illustrative example, the articulating arm 310 can move along the x- and z-axes via the arm movement guidance members 311, 312 to a particular location on the flashing module 300 where an optical transceiver or group of optical transceivers is located. Then, the articulating arm 310 can move downwardly along the y-axis via the arm movement guidance members 313 to grab or otherwise acquire the transceiver(s) using the grabbing mechanism 315. While holding the transceiver(s), the articulating arm 310 can then move via the arm movement guidance members 311, 312 to another location on the flashing module 300 where an available flashing port 320 is located and populate the flashing ports with the transceiver(s). Following the inspection, testing, validation, and / or flashing sequences, eachAttorney Docket No. 065015-501001 WO of which is described below, the articulating arm 310 can again move as necessary via the arm movement guidance members 311, 312, 313 and release each transceiver from the grabbing mechanism 315 by placing the transceiver into its original location in the tray 20 for further processing by the robotic platform 100.

[0094] Referring back to FIG. 4A, the flashing module 300 can use the articulating arm 310 to initiate inspection, testing, and validation of a batch of optical transceivers. The articulating arm 310 can first grab each optical transceiver from an input tray 20 using the grabbing mechanism 315, as described above. The articulating arm 310 can then mount each transceiver onto an optical transceiver connector of the flashing module 300. The flashing module 300 can include a plurality of optical transceiver connectors, each located in a flashing port 320 disposed within a printed circuit board (PCB) array of the flashing module 300, configured with pins (e.g., Inter-Integrated Circuit (I2C) pins) for connecting to an optical transceiver and allowing for obtaining data about the transceiver (“transceiver data”) through the connection. The optical transceiver connectors can be further configured for flashing / recoding of the EEPROM or firmware settings of the transceiver as necessary. The connectors can include any type of connector suitable for connecting with a corresponding transceiver, such as QSFP (e.g., a QSFP-DD connector), QSFP+, SFP, SFP+, and so on, depending on the type of transceiver being processed. The optical transceiver connector can thus enable the robotic platform 100 to communicate with the transceiver, obtain transceiver data used for testing and validating the transceiver, and write data to the transceiver for recoding its firmware or EEPROM settings. Communication with the transceiver can be conducted using various protocols, such as I2C protocol, for example. In other embodiments, the deployment device itself could be integrated into the robotic platform 100, e.g., using a console cable to connect the switch to the control device 1500, allowing the EEPROM settings of a given transceiver on the populated flashing ports 320 to be flashed even more efficiently.

[0095] Once the articulating arm 310 has populated a flashing port 320 with a transceiver, thus connecting the transceiver to an optical transceiver connector, the robotic module 100 in conjunction with the control device 1500 can initiate an inspection and testing sequence of the transceiver to determine whether or not the transceiver complies with requirements of the deployment environment in which the transceiver is to be deployed.

[0096] In this regard, FIGS. 11 A and 1 IB are flowcharts illustrating a simplified process for automated optical transceiver inspection according to embodiments of the present disclosure. For example, a specifically configured device (e.g., control device 1500) in conjunction withAttorney Docket No. 065015-501001 WO

[0097] the robotic platform 100 may perform procedure 700 by executing stored instructions and provide an automated solution for optical transceiver inspection. The procedure 700 may start at step 702, and continue to step 704, where a new optical transceiver is received and placed into the inspection queue by loading the tray in which the transceiver is contained onto the dispenser module 200. Typically, the transceiver is received as part of a batch or package of optical transceivers from a particular manufacturer or vendor. Each of these transceivers can be tested to ensure proper functionality and compatibility with the deployment environment.

[0098] Next, the transceiver is moved to the testing environment for inspection (step 706). As described above, the input tray containing the transceiver can be transported from the dispenser module 200 to the flashing module 300 where the articulating arm 310 can acquire the transceiver from the tray using the grabbing mechanism 315.

[0099] At this stage, the articulating arm 310 captures an image of the optical transceiver, including the manufacturer label printed onto the outer body of the transceiver, and data is extracted from the image. The image can be captured using an image sensor (e.g., a camera) that is mounted either on the articulating arm 310 itself or elsewhere on the flashing module 300. The robotic platform 100 can send the image (e.g., data 1580 in FIG. 15) to the control device 1500 (e.g., via the CP2112 chip 105), and the device 1500 can extract data from the image using various image or text recognition techniques, such as optical character recognition (OCR). The extracted data can include various device specifications typically printed onto the manufacturer label including, for example, part number, serial number, form factor, wavelength, data rate, cable distance, protocols, and the like.

[0100] The transceiver is then registered into a registration database by the control device 1500 using the extracted information listed above, allowing the system to keep an accurate log of each received transceiver (step 710). The registration database can be stored in local memory (e.g., memory 1540), for example, or in a remote storage location, distributed across multiple storage locations, etc. Registration can also include the purchase order number associated with the transceiver, as well as the first and last serial numbers of transceivers in each purchase order, thus linking all transceivers with the correct purchase order and allowing the transceivers to be tracked when a shipment arrives.

[0101] Next, the connectivity of the registered transceiver is tested by connecting the transceiver to an optical transceiver connector in an available flashing port 320 using the articulating arm 310. as described above (step 712). The transceiver connection can be tested across all interfaces required by the deployment environment. If the connections as requiredAttorney Docket No. 065015-501001 WO

[0102] are established (step 714), the control device 1500 can log the successful connections in the registration database. But a failed connection is typically indicative of a physical defect in the transceiver (e.g., damage during manufacture or shipping), in which case the faulty transceiver should be sent back to the manufacturer.

[0103] Assuming a connection was successfully established, the control device 1500 can proceed to obtain information about the transceiver via the connection and log the obtained information in the database (step 716). In particular, the connection allows the control device 1500 to determine the transceiver’s EEPROM settings, as well as related parameters including transmit power, receive power, laser bias, temperature, bit error rate (BER), and application select (App Sei) fields. The control device 1500 can also detect whether the transceiver is compliant with vendor-specific part number validation to ensure naming convention consistency. Each of the above items of information can be logged in the registration database by the control device 1500. In some embodiments, the logged information can be made available to a user by decoding the information into a format available for download.

[0104] A potential problem arises in that certain fields in the transceiver’s EEPROM may populate only when the transceiver operates within a switch or server port. The robotic platform 100 addresses this issue by integrating network interface controller (NIC) cards that simulate these environments. The articulating arm 310 can actively populate the port(s) of the NIC cards so that the platform may run synthetic data patterns, such as pseudorandom binary sequences (PRBS). By running synthetic data patterns through the transceiver via the NIC cards, the platform 100 can organically populate key EEPROM fields, including:

[0105] Transmit Power

[0106] - Receive Power

[0107] - Laser Bias Current

[0108] Temperature

[0109] Bit Error Rate (BER)

[0110] Application Select (App Sei) Field for mode designation (e.g., 400G or 4xl00G breakout).

[0111] Additionally, the robotic platform 100 can integrate remote direct memory access (RDMA) network adapters mounted on a specially purposed micro test server. The server can support both InfiniBand and Ethernet protocols, for example, running on prevailing operating systems such as Cumulus or Linux, and effectively serve as an additional port on the robotic platform 100 for generating EEPROM data of each transceiver (see data fieldsAttorney Docket No. 065015-501001 WO

[0112] above), thereby extending its testing capabilities and sophistication.

[0113] The control device 1500 can capture the organically generated EEPROM data and use the same for input and training data the machine learning-based root cause analysis and solution finding models (e.g., root cause analysis engine 1546 and solution finding engine 1548), discussed below, significantly enhancing the precision and accuracy of these models.

[0114] Next, the robotic platform 100 and control device 1500 initiate testing of the transceiver in order to ensure proper functionality thereof, thus generating test results data (step 718). In particular, the EEPROM settings of the transceiver which have obtained by the robotic platform 100 can be cross-referenced or compared with verified EEPROM parameters of the deployment environment. The pre-verified parameters represent the requirements of the deployment environment in which the transceiver is to be deployed, and thus it is crucial that the transceivers comply with these requirements in order for proper functionality once they are deployed. In the case of a 400G-DR4 QSFP-DD transceiver, for example, the verified EEPROM parameters are defined by the QSFP-DD Multi-Source Agreement (MSA). The verified parameters can be stored in the registration database or retrieved by the control device 1500 from another storage location. These parameters can include:

[0115] 1. Identification and Compliance Information

[0116] - Vendor Name, Part Number, Revision, Serial Number, and Compliance Codes.

[0117] 2. Operational and Performance Parameters

[0118] - Nominal Bit Rate. Wavelength, and Power Consumption.

[0119] 3. Application and Configuration Fields

[0120] - Application Select (App Sei) Field and Module State and Control Fields.

[0121] 4. Optical and Electrical Characteristics

[0122] - Transmit Power. Receive Power, Laser Bias, Temperature, and BER Thresholds.

[0123] 5. Alarm and Warning Thresholds

[0124] - Temperature, Voltage, TX Bias, and RX Power.

[0125] 6. Diagnostic Monitoring Interface (DMI) Data

[0126] - Real-time monitoring for operational stability.

[0127] 7. Memory Integrity’

[0128] Checksum and CRC fields to ensure EEPROM data integrity.

[0129] As an example, the detected transmit and receive power, temperature, and BER of the transceiver can be compared with the corresponding threshold values of the deployment environment. Similarly, the detected application select, module state, and control fields of the transceiver can be compared with the required fields of the deployment environment. TheAttorney Docket No. 065015-501001 WO control device 1500 can thus perform EEPROM data parsing by reading and validating EEPROM fields using tools compliant with memory map standards (e.g.. QSFP-DD). Also, the control device 1500 can cross-validate the transceiver by comparing inspected parameters (e.g., bit rate, wavelength, etc.) against the transceiver’s intended application. If the comparison reveals that the EEPROM parameters of the transceiver and the required parameters of the deployment environment are mismatched, indicating that the transceiver fails to comply wi th the requirements of the deployment environment, the robotic platform 100 can proceed to initiate a flashing sequence for the transceiver, as described in detail below.

[0130] Additionally, the robotic platform 100 and control device 1500 can be configured to convert the EEPROM data obtained from the transceiver into a format that makes comparing the data with the verified EEPROM parameters possible. For instance, the EEPROM data obtained from the transceiver is typically in hex form. The robotic platform 100 and / or control device 1500 can thus convert the hex values into ASCII or other formats in correspondence with the verified EEPROM parameters. This functionality is critical for validating the 16-character part number field of the transceiver (e.g., “QSFP-400G-DR4-LU”), ensuring that all vendor SKU naming conventions are consistent, and improving reliability' and interoperability within optical interconnect ecosystems.

[0131] The cross-referencing of EEPROM settings of the optical transceiver against verified EEPROM parameters is fully automated as it can be performed entirely by the robotic platform 100 and control device 1500. By automating the transceiver validation process, it greatly improves upon conventional approaches in which the EEPROM settings of each transceiver are manually compared side-by-side with the verified parameters of the deployment environment, a process that is both cumbersome and prone to human error.

[0132] The test results data indicative of the testing results can be uploaded and stored by the control device 1500 (step 720). The test results data can indicate, for example, that the EEPROM parameters of the transceiver matched each of the pre-verified parameters, or conversely, that certain EEPROM parameters of the transceiver do not match or fail to comply with the pre-verified parameters.

[0133] If the testing has passed, i.e., the EEPROM settings of the transceiver comply with the verified parameters of the deployment environment (step 722), the control device 1500 uploads and stores an indication that the test has passed (step 724). The control device 1500 can also update the corresponding purchase order with the test results data to assign the appropriate status to the entire batch of transceivers.Attorney Docket No. 065015-501001 WO After this, the transceiver is disconnected from the optical transceiver connector in the testing environment using the articulating arm 310 (step 726) and transferred to a queue of verified transceivers that are ready to ship (step 728). The tray of transceivers can be moved from the flashing module 300 to a subsequent module (e.g., idler module 400 or labeling module 500). Because the transceiver testing was successful, there is no need for flashing or relabeling, as described in detail below.

[0134] This branch of process 700 illustratively ends at step 730.

[0135] However, if the testing does not pass, i.e., the EEPROM settings of the transceiver do not comply with the verified parameters of the deployment environment, it can be determined whether the issue is isolated to the single transceiver, or if the entire batch of transceivers is at risk (step 732). If the entire batch is at risk, all transceivers can be marked for testing and the above testing procedure can be repeated across each device. But if the compliance problem appears isolated to the single transceiver, the testing failure is logged by the control device 1500 (step 736). Furthermore, the control device 1500 notifies users of the failure (step 738), and if necessary, a triage discussion with the manufacturer can be initiated to address the issue.

[0136] Lastly, a root cause analysis engine (e.g., root cause analysis engine 1546) is invoked by the control device 1500 to determine the root cause of the transceiver’s failure to comply with the requirements of the deployment environment (step 740). By determining the root cause of the failure, it becomes possible to identify a mitigating solution that resolves the non-compliance, such as flashing the firmware or EEPROM settings of the transceiver. The root cause analysis engine is described below in detail with respect to FIG. 12.

[0137] This branch of process 700 illustratively ends at step 742.

[0138] It should be noted that while certain steps within procedure 700 may be optional as described above, the steps shown in FIG. HA and 1 IB are merely examples for illustration, and certain other steps may be included or excluded as desired. Further, while a particular order of the steps is shown, this ordering is merely illustrative, and any suitable arrangement of the steps may be utilized without departing from the scope of the embodiments herein.

[0139] As noted above, if the testing has passed, i.e., the transceiver complies with the requirements of the deployment environment, the transceiver can be disconnected from the optical transceiver connector using the articulating arm 310, moved out of the flashing module 300, and transferred to a queue of verified transceivers that are ready to ship.

[0140] However, if the testing fails, i.e.. the transceiver does not comply with one or more requirements of the deployment environment, the control device 1500 can invoke the rootAttorney Docket No. 065015-501001 WO

[0141] cause analysis engine 1546 (see FIG. 15) to determine the root cause of the transceiver’s failure. The control device 1500 can further invoke the solution finding engine 1548 to identify a potential solution that resolves the failure.

[0142] In this regard, FIG. 12 is a flowchart illustrating a simplified process for optical transceiver diagnosis, root cause analysis, and remediation according to embodiments of the present disclosure. For example, a specifically configured device (e.g., control device 1500) in conjunction with the robotic platform 100 may perform procedure 800 by executing stored instructions (e.g., root cause analysis engine 1546 and solution finding engine 1548) and provide a solution for accurately predicting the root cause of transceiver failures and identifying potential solutions to such failures. The procedure 800 may start at step 802, and continue to step 804. where the test results data for the connected transceiver generated during the inspection sequence (see FIG. 11) are loaded and evaluated. If the test was successful (step 806), indicating that the EEPROM settings of the transceiver match the verified EEPROM parameters of the deployment environment, the control device 1500 can mark the test as having been passed in the registration database as described above. If unsuccessful, the control device 1500 collects all available data of the transceiver that has been stored (step 808). As noted above, the robotic platform 100 can organically populate key EEPROM fields for the transceiver — including Transmit Power, Receive Power, Laser Bias Current. Temperature, Bit Error Rate (BER), Application Select (App Sei) Field, and the like — by running synthetic data patterns (e.g., PRBS) through the transceiver via NIC cards and RDMA network adapters. This data can be utilized as both input data and training data for the root cause analysis and solution finding engines (e.g., root cause analysis engine 1546 and solution finding engine 1548), thus enhancing their precision and accuracy. The control device 1500 further collects all available test results data for the transceiver. For example, the test results data can indicate precisely how the transceiver failed to comply with the deployment environment’s requirements, e.g., the BER threshold was not met, power consumption was insufficient, etc.

[0143] The obtained transceiver data and the test results data are then processed and converted into a format that is digestible by the root cause analysis engine 1546 executing on the control device 1500 (step 810). In some embodiments, the root cause analysis engine 1546 can embody a machine learning-based model trained to predict the root cause of failure for a given transceiver to comply with the requirements of a deployment environment, i.e., incompatibility between the transceiver and the deployment environment. From a troubleshooting standpoint, it is important not only to know that a transceiver will not workAttorney Docket No. 065015-501001 WO

[0144] properly in a particular environment, but why, exactly, the transceiver will not work in the environment, as that knowledge is crucial to determining a potential fix. Generating a reliable root cause prediction can prevent the need to send a problematic transceiver back to the manufacturer whenever an issue is detected, thus saving significant time and cost in the deployment process. In some embodiments, the machine learning-based root cause analysis model can be trained using a training dataset comprising, in part, results of testing optical transceiver compatibility and performance across different deployment environments. Additional detail regarding the machine learning aspects of the root cause analysis engine is provided below with reference to FIG. 15. Thus, the transceiver and test results data should be converted into a format that allows it to be inputted to the machine learning-based model embodied by the root cause analysis engine 1546.

[0145] Using the transceiver data and the test results data as input, the machine learningbased root cause analysis engine is invoked to produce an output indicative of a predicted root cause for the transceiver failure (step 812). If a root cause is found (step 814) (e.g., the EEPROM parameters of the transceiver fail to comply with the verified parameters of the deployment environment), the root cause data indicative of the predicted root cause is uploaded and stored by the control device 1500 (step 816). Further, the control device 1500 updates the status of the transceiver in the registration database to indicate that a root cause associated with the transceiver has been found (step 818). In some embodiments, a human expert can be used to verify the root cause predicted by the root cause analysis engine.

[0146] If the root cause analysis engine cannot find a root cause of the transceiver’s failure (step 814), various steps can be taken to address and mitigate the issue. For example, a troubleshooting analysis report can be prepared to support manual efforts by an engineering team to detect the proper root cause. Further, a discussion with the manufacturer can be initiated to assist with identifying the root cause.

[0147] Assuming a likely root cause has been identified, a machine learning-based solution finding engine is invoked to produce an output indicative of a predicted root cause for the transceiver failure (step 820). With reference to FIG. 15, the control device 1500 can execute a solution finding engine 1548 that embodies a machine learning-based model trained to predict solutions for solving incompatibility between a particular optical transceiver and a particular deployment environment, using the root cause, the characteristics of the optical transceiver, and the test results data as input. These solutions can vary depending on the test results, the characteristics of the transceivers (e.g., device type, EEPROM parameters, etc.), the requirements of the deployment environment, and the predicted root cause of failure. AAttorney Docket No. 065015-501001 WO

[0148] solution may include, for instance, flashing the transceiver to recode its EEPROM parameters in compliance with the requirements of the deployment environment. Another solution may include flashing the transceiver to update its firmware. Typically, the updated firmware is prepared by the manufacturer and provided by the manufacturer for application by the robotic platform 100. Both fixes — updating EEPROM parameters or updating firmware — can be carried out by the robotic platform 100 as described herein. Another possible solution may include a hardware fix. in which case the transceiver can be returned to the manufacturer to implement the fix.

[0149] In some embodiments, the machine learning-based solution finding model can be trained using a training dataset comprising, in part, root causes of optical transceiver failure, fixes applied to transceivers to address the root cause, and whether or not the applied fixes resolved the failure. Additional detail regarding the machine learning aspects of the solution finding engine is provided below with reference to FIG. 15.

[0150] If a solution to remedy the root cause of the failure is found (step 822), the solution is then prepared and applied to the optical transceiver (step 824). If the solution is flashing the transceiver to update its EEPROM parameters or update its firmware, for example, the flashing module 300 can initiate a flashing sequence via the optical transceiver connector. The flashing sequence can be carried out by the flashing module 300 using an EEPROM or firmware file received as input (e.g., instructions 1570) from the control device 1500. The updated EEPROM or firmware file can be configured based on requirements of the deployment environment so as to ensure compatibility' between the flashed transceivers and the deployment environment. The flashing sequence is described in further detail below.

[0151] Then, the testing and inspection sequence described above (see FIG. 11) is repeated to ensure the applied solution has in fact resolved the failure (step 826). The testing and inspection sequence should ideally indicate that the flashed or reconfigured transceiver now complies with the requirements of the deployment environment. If not, the above steps can be repeated to potentially identify a different root cause and solution to address the incompatibility.

[0152] If a solution to remedy the root cause of the failure is not found, however (step 822), various other mitigating steps can be taken, including determining whether the transceiver should undergo quarantine pending a solution. If so, the control device 1500 can update the transceiver’s status to reflect the current quarantine. If not, a troubleshooting analysis report can be prepared to support manual efforts by an engineering team to detect the proper solution. Further, a discussion with the manufacturer can be initiated to assist withAttorney Docket No. 065015-501001 WO

[0153] identifying the solution.

[0154] The process 800 illustratively ends at step 828.

[0155] It should be noted that while certain steps within procedure 800 may be optional as described above, the steps shown in FIG. 12 are merely examples for illustration, and certain other steps may be included or excluded as desired. Further, while a particular order of the steps is shown, this ordering is merely illustrative, and any suitable arrangement of the steps may be utilized without departing from the scope of the embodiments herein.

[0156] As noted above, the robotic platform 100 can implement a flashing sequence to recode a problematic optical transceiver when the test results data indicates that the transceiver fails to comply with one or more requirements of the deployment environment. The flashing sequence includes updating the EEPROM settings or the firmware settings of an optical transceiver, or a batch of transceivers, via an optical transceiver connector in the flashing port 320. The flashing module 300 can write the updated EEPROM or firmware settings to the transceiver via an optical transceiver connector in the flashing port 320 using an EEPROM or firmware file received as input from the control device 1500 (e.g., see FIG.

[0157] 15). The updated EEPROM or firmware file can be configured based on requirements of the deployment environment so as to ensure compatibility between the flashed transceivers and the deployment environment.

[0158] The control device 1500 can control the flashing sequence carried out by the flashing module 300 of the robotic platform by interfacing with the PCB board of the robotic platform 100. With reference to FIG. 15, the control device 1500 can provide providing flashing instructions 1570 to the robotic platform 100, which in turn are implemented by the flashing module 300. The instructions 1570 provided by the control device 1500 can include, for instance, a firmware file or an EEPROM bin file that is written to the connected transceivers by the flashing module 300. In some embodiments, the flashing instructions 1570 provided by the control device 1500 can include universal serial bus (USB) instructions. The robotic platform 100 can then translate the USB instructions to I2C signals, enabling the flashing module 300 to rewrite firmware or update EEPROM registries directly on each optical transceiver according to the received flashing instructions 1570.

[0159] As an illustrative, non-limiting example, the robotic platform 100 can configured with a Silicon Labs® CP2112 USB-to-SMBus bridge chip 105 that converts USB signals (e.g., instructions 1570) from a computer, such as the control device 1500, into SMBus (System Management Bus) or I2C signals. The CP2112 chip 105 thus makes it possible for the control device 1500 to communicate with I2C devices by translating USB commands into theAttorney Docket No. 065015-501001 WO

[0160] necessary' SMBus / I2C protocol. Furthermore, the flashing module 300 can be equipped with QSFP-DD connectors 110. often used in high-speed data communication systems, like data centers, to interface with QSFP-DD optical transceivers (e.g., a 400G-DR4 QSFP-DD transceiver). These transceivers can use I2C for low-speed communication and control purposes, such as reading diagnostic information, setting operational modes, and so forth. The CP2112 chip 105 can be connected to the I2C pins of the QSFP-DD connector 110 on the PCB. allowing for communication with the QSFP-DD transceiver’s control and the management interface using the I2C protocol.

[0161] Meanwhile, the control device 1500 can execute flashing software, such as LabVIEW (Laboratory' Virtual Instrument Engineering Workbench) 1549, a graphical programming platform developed by National Instruments® often used for hardware interfacing.

[0162] LabVIEW 1549 communicates with the CP2112 chip 105 of the robotic platform 100 via a SLABHIDtoSMBus.dll library' which is a Dynamic Link Library (DLL) provided by' Silicon Labs® (manufacturer of the CP2112 chip). This DLL allows for accurate and consistent data transfer over the SMBus for each transceiver and provides various functions required to interface with the CP2112 chip 105, including:

[0163] Initializing the CP2112 chip 105 and setting operating parameters like I2C clock frequency.

[0164] Sending data to a specific address of a QSFP-DD transceiver on the I2C bus via the QSFP-DD connectors 110.

[0165] - Reading I2C registers of the QSFP-DD transceiver, including diagnostic data such as temperature, voltage, and operating status.

[0166] The RS232 Serial Hub to USB setup of the robotic platform 100 can provide for fast communication between the control device 1500 and the articulating arm 310 via the CP2112 chip 105. Thus, using the data 1580 received from the robotic platform 100 as input, the control device 1500 is able to perform real-time monitoring and maintain complete control over the flashing sequence.

[0167] Upon completion of the flashing sequence, the EEPROM settings or firmware of the optical transceiver have been updated to comply with the parameters or requirements of the deployment environment (pending verification of transceiver compliance). At this stage, the articulating arm 310 can dismount each optical transceiver from the corresponding optical transceiver connector and place the flashed transceiver back into its original location in the appropriate input tray 20. Importantly, the articulating arm 310 can ensure that the optical transceivers are sequenced as they are placed back into the correct trays after flashing toAttorney Docket No. 065015-501001 WO allow for proper serial number matching in the labeling sequence carried out by the labeling module 500, described below.

[0168] After placing the flashed transceivers back into the correct input tray 20, the tray of flashed transceivers can be transported along the conveyor belt 305 of the flashing module 300 to an idler module 400, which follows the flashing module 300 in the sequence of robotic modules of the robotic platform 100. In this regard. FIG. 4C is a cross-sectional perspective view of the flashing module 300 disposed between the dispenser module 200 and the idler module 400 according to embodiments of the present disclosure. The idler module 400 can receive the incoming trays of flashed transceivers via a conveyor belt 405, as show n.

[0169] FIG. 5 A is an isolated perspective view' of the idler module 400 according to embodiments of the present disclosure. In some embodiments, the idler module 400 can effectively function as an intermediate holding station between the flashing module 300 and the labeling module 500, to be described below. The idler module 400 can be configured to hold trays of flashed transceivers (i. e. , trays 40) received from the flashing module 300 until the labeling module 500 is ready to accept the next tray 40. (Note: trays 40 are the same as trays 20 except that they now contain flashed transceivers.) The idler module 400 can also organize the trays 40 systematically to ensure that each tray 40 in queue remains in the proper sequence in order to allow7for proper serial number matching by the labeling module 500. This organization ensures the order of transceivers aligns with the firmware update process, thus minimizing handling errors and maintaining data integrity.

[0170] It should be noted that in other embodiments, the idler module 400 can be omitted from the robotic platform 100 entirely, such that the labeling module 500 directly follow s the flashing module 300.

[0171] Once it is determined that the labeling module 500 is ready to accept a tray 40 of flashed transceivers, the idler module 400 can transport the tray to the labeling module 500 via conveyor belt 405 and conveyor belt 505, as shown in FIG. 5B, which is a cross-sectional perspective view of the idler module 400 alongside the labeling module 500 according to embodiments of the present disclosure. Fundamentally, the labeling module 500 can print and apply labels to each flashed optical transceiver indicating the transceiver's original serial number alongside the newly flashed firmware version. These labels are intended to preserve the traceability of each transceiver by ensuring the original serial number and updated firmw are version remain precisely synchronized.

[0172] FIG. 6A is an isolated perspective view of the labeling module 500 according to embodiments of the present disclosure. As shown, the labeling module 500 can hold a trayAttorney Docket No. 065015-501001 WO

[0173] 40 of flashed transceivers received from the flashing module 300 and idler module 400. The labeling module 500 can apply a label to the outer casing of each transceiver contained therein using an articulating robotic arm 510 and a label printer 520. The printed label can indicate various items of identifying information for the flashed transceivers, but most crucially the transceiver’s original serial number and updated EEPROM or firmware settings. The labeling module 500 therefore synchronizes the updated firmware version or EEPROM signature with the original serial number for each transceiver. The robotic platform 100 can log this information to ensure data consistency throughout the process, facilitating quality control and tracking of the transceivers.

[0174] Operationally, the labeling sequence can begin with the articulating arm 510 (“second articulating arm”) moving to a particular location within the labeling module 500 and grabbing a flashed optical transceiver from the currently loaded tray 40. Functionality of the articulating arm 510 can largely mirror that of the articulating arm 310 in the flashing module 300. For example, FIG. 6B is a perspective view7of the articulating robotic arm 510 according to embodiments of the present disclosure. As shown, the articulating arm 510 can be configured to move in various dimensions, including along the x-axis (e.g., left and right), y-axis (e.g., up and down), and z-axis (e.g., forward and back), in relation to the labeling module 500. The articulating arm 510 can be motorized, thereby pow ering the movements of the articulating arm 510 in various different directions as instructed by the control device 1500.

[0175] Similar to the articulating arm 310, movement of the articulating arm 510 can be carried out by a movement assembly enabling the articulating arm 510 to translate in any such direction. As shown, the movement assembly can include multiple arm movement guidance members 511, 512 extending in different directions along which the articulating arm 310 can move. The arm movement guidance member 511 can extend along the x-axis (e.g., left and right), the arm movement guidance member 512 can extend along the z-axis (e.g., forward and back), and the arm movement guidance member 513 can extend along the y-axis (e.g., up and down). Although it should be appreciated that the movement assembly for guiding movement of the articulating arm 510 can include any number of arm movement guidance members extending in any direction as desired.

[0176] The arm movement guidance members 511, 512, 513 may be configured in various ways to facilitate movement of the articulating arm 310. For instance, any one or more of the arm movement guidance members 511, 512, 513 can include a track that is shaped and sized to receive a corresponding projection piece projecting from a different member, allowing theAttorney Docket No. 065015-501001 WO arm movement guidance members and articulating arm 510 to work in conjunction with each other. For instance, as shown, the arm movement guidance member 511 can include a track 511a formed within and extending along the length thereof. Correspondingly, the arm movement guidance member 512 can include a projection piece (obscured in figures) that is shaped and sized to fit within the track 511a. The arm movement guidance member 512 is thus able to move along the length the track 51 la of the arm movement guidance member 511, thereby enabling the articulating arm 510 to move along the x-axis. In the alternative, any of the arm movement guidance members 511 , 512, 513 can lack such a track, and the articulating arm 510 can be formed with an opening sized to fit around the outside of the arm movement guidance member. For instance, as shown, the arm movement guidance member 512 extends through an opening of the articulating arm 510 such that the articulating arm 510 can along the length of the arm movement guidance member 512 along the z-axis.

[0177] Furthermore, the articulating arm 510 can include a grabbing mechanism 515 configured to move along the y-axis (e.g., up and down) allowing the articulating arm 510 to acquire one or more optical transceivers from an input tray 40 for labeling and then place the optical transceiver back in the tray 40 after labeling. The grabbing mechanism 515 can be configured in various ways so as to grab and thus remove each optical transceiver from the tray 40 such as with movable "fingers" that releasably hold the edges of the transceivers, with pins that are fashioned to plug into corresponding openings in the transceiver body, using a suction means, or any other means suitable for acquiring the transceivers from the tray 40 for labeling. In some embodiments, as illustrated in FIG. 6B, the grabbing mechanism 515 can extend from or retract into the arm movement guidance member 513. In other embodiments, the arm movement guidance member 513 can be configured in a manner similar to the arm movement guidance member 313 (e.g., see FIG. 4B) including a vertical track formed therein along which the articulating arm 510 can travel.

[0178] Upon moving to a particular location on the labeling module 500 to acquire a flashed transceiver from the tray 40, the articulating arm 510 can grab the transceiver using the grabbing mechanism 515 and transport the transceiver to the label printer 520. The articulating arm 510 can then release the transceiver to a location adjacent to the label printer 520 such that the label printer 520 can apply an updated label to the outer casing of the transceiver. Alternatively, the articulating arm 510 can move the transceiver to the location adjacent to the label printer 520 without releasing the transceiver, such that the label printer 520 can apply the updated label to the outer casing of the transceiver while the grabbing mechanism 515 holds the transceiver.Attorney Docket No. 065015-501001 WO

[0179] As noted above, the label applied onto the transceiver indicates the newly flashed firmware version or EEPROM signature. Furthermore, in order to ensure the traceability of each transceiver, the label must also indicate the transceiver’s original serial number such that the serial number and updated firmware or EEPROM settings are synchronized. By automating the relabeling of flashed transceivers, a process ty pically performed manually, the robotic platform 100 can process and update thousands of optical transceivers per day, providing a scalable, efficient solution that reduces the need for manual intervention. In addition to the new label, the control device 1500 can log the serial number and updated firmware or EEPROM settings of each transceiver to provide for tracking the flashed transceivers, along with an extra layer of quality control.

[0180] Once the labeling is complete, the articulating arm 10 can reacquire the optical transceiver via grabbing mechanism 515 and place the flashed and re-labeled transceiver back into its original location in the appropriate input tray 40. Importantly, the articulating arm 510 can ensure that the optical transceivers are properly sequenced as they are placed back into the correct trays after labeling.

[0181] After the articulating arm 510 places the flashed and re-labeled optical transceiver back in the input tray, the labeling module 500 can transport the tray 60 to a restacking module 600 via conveyor belt 505 and conveyor belt 605, as illustrated in FIG. 6C, which is a cross-sectional perspective view of the labeling module 500 alongside the restacking module 600 according to embodiments of the present disclosure. (Note: trays 60 are the same as trays 40 except that they now contain flashed and labeled transceivers.) Fundamentally, the restacking module 600 can be configured to receive the trays 60 of flashed and labeled optical transceivers in sequential order from the labeling module 500 and re-arrange them in a vertical stack 70, essentially operating in an opposite fashion as the dispenser module 200. In this regard, FIG. 7 is an isolated perspective view of the restacking module 600 according to embodiments of the present disclosure. The restacking module 600 can be configured to restack the trays of flashed and labeled transceivers, particularly by adding new trays 60 received from the labeling module 500 to the bottom of the stack 70, thereby forming the stack from the bottom up. This also allow for trays to be unloaded from the top of the stack 70 without interrupting operation of the restacking module 600.

[0182] Furthermore, the restacking module 600 can ensure the input trays 60 are arranged in the stack 70 according to the order in which they were received, such that the robotic platform 100 preserves the proper sequence of optical transceivers throughout the entire processing. Once the trays 60 have been added to the stack 70 and are available for removal, the opticalAttorney Docket No. 065015-501001 WO

[0183] transceivers having been flashed and relabeled as described above have been fully processed and are ready for deployment at the appropriate deployment environment (e.g.. a data center) or subsequent production stages.

[0184] An illustrative example is provided FIGS. 8A-8D which include operational views of the restacking module 600 stacking input trays 60 containing flashed and labeled optical transceivers according to embodiments of the present disclosure. It should be understood that the sequence of events shown in FIGS. 8A-8D only represents a single mode of operation for the restacking module 600, provided merely for demonstration purposes, and thus does not limit the scope of the present claims.

[0185] First, in FIG. 8A, the restacking module 600 has arranged a plurality' of input trays 60 containing flashed and labeled transceivers into a stack 70. Each tray 60 can be arranged in the same orientation by virtue of the trays’ interlocking features 25, as described above. The stack 70 of trays 60 can be held above the conveyor belt 205 by a movable tray holder 615 configured to slide linearly inwardly or outwardly relative to the restacking module 600, as shown in FIGS. 8A-8D. In alternative embodiments, the tray holder 615 can be configured to pivot about a pivot point, similar to the tray holder 215. Here, the tray holder 615 is shown in an extended position, as the tray holder 615 is extending toward a center of the restacking module 600, enabling the tray holder 615 to hold the stack 70 in place. In some embodiments, the tray holder 615 can include a projection that extends from an upper surface thereof. The projection can be fashioned to interact with one of the interlocking features (e.g., interlocking feature 25b) of a given tray 60, such that the bottom tray 60 is held in place via the tray holder 615, which in turn holds the entire stack 70 of trays in place, as shown in FIG. 8A. Furthermore, in some embodiments, the restacking module can include multiple tray holders 615 disposed at different locations (e.g., on opposing sides of the trays 60), as shown in the figures. Additionally, a movable tray platform 610 can be positioned in a first position with its upper surface proximate to an upper surface of the conveyor belt 605. The tray platform 610 can be configured to translate linearly upwardly or downwardly (i.e., toward the stack 70 or away from the stack 70) allowing the tray platform 610 to add additional trays 60 to the bottom of the stack 70, as demonstrated below. Here, a tray 60 of flashed and labeled transceivers has been received from the labeling module 500 and is currently loaded onto an upper surface of the tray platform 610. The restacking module 600 can proceed to add this tray to the bottom of the stack 70 via the tray platform 610, as demonstrated below. Movement of the tray platform 210 can be effected by any suitable mechanical means, such as, for instance, a motor assembly, a pressure-activated means, aAttorney Docket No. 065015-501001 WO

[0186] pneumatic assembly, and so on.

[0187] Second, in FIG. 8B, the tray platform 610 moves from the first position to a second position by translating upwardly toward the stack 70 and away from the upper surface of the conveyor belt 605, thereby moving the loaded tray 60 into contact with a bottom surface of the lowermost tray in the stack 70 and pushing the entire stack 70 upwardly. As the stack 70 is moved upwardly via the tray platform 610, movement of the stack 70 can cause the tray holder 615 to slide outwardly relative to the restacking module 600. Here, the tray holder 615 is shown in a retracted position, as the outer wall of the lowermost tray 60 comes into contact with the projection of the tray holder 615 and forces the tray holder 615 to retract, which in turn allows the tray 60 to move beyond the tray holder 615. In some embodiments, the tray holder 615 can be spring-loaded, such that a spring (not shown) is biased to return the tray holder 615 to the extended position shown in FIG. 8 A. In other embodiments, the tray holder 615 can include physical blocking elements (not shown) that limit the range of movement of the tray holder 615.

[0188] Third, in FIG. 8C, the tray platform 610 moves from the second position to a third position by continuing to translate upwardly away from the upper surface of the conveyor belt 605. As the tray platform 610 moves further in this direction, which in turn causes the stack 70 to move in the same upward direction, the lowermost tray 60 in contact with the tray platform 610 passes by the projection of the tray holder 615, thus allowing the tray holder 615 to extend outwardly and return to the extended position. Here, the tray holder 615 is configured to support the stack 70 of trays and block the trays from moving downwardly toward the conveyor belt 610.

[0189] Fourth, in FIG. 8D, the tray platform 610 moves from the third position back to the first position with its upper surface proximate to the upper surface of the conveyor belt 605. In doing so, the tray holder 610 can effectively release the previously loaded tray 60 and thereby add the tray 60 to the bottom of the stack 70. As restacking module 600 continues to build the stack 70, the trays on top can be removed with the optical transceivers contained therein now ready for deployment or subsequent production stages without interruption of the stacking sequence. The restacking can be repeated in an automated fashion, without manual intervention, for each tray 60 provided to the restacking module 600.

[0190] As noted above, the robotic platform 100 and control device 1500 can execute various troubleshooting functions to predict the root cause of a transceiver’s incompatibility7with the deployment environment (e.g.. see FIG. 12). Additional troubleshooting steps can be taken, as well, in which support is provided by human experts to assist in identifying root causes ofAttorney Docket No. 065015-501001 WO

[0191] failure and solutions for remedying the failure.

[0192] FIG. 13 is a flowchart illustrating a simplified process for providing engineering support and troubleshooting according to embodiments of the present disclosure. For example, a specifically configured device (e.g., control device 1500) in conjunction with the robotic platform 100 may perform procedure 900 by executing stored instructions and provide a solution for troubleshooting problematic optical transceivers with support from human experts. The procedure 900 may start at step 902, and continue to step 904. where an issue dashboard is executed with the transceiver data and the test results data, obtained following the steps outlined above with reference to FIG. 11. The issue dashboard can provide a user interface through which a human expert or engineer can interact with the robotic platform 100 and assist in diagnosing faulty optical transceivers. In some cases, the engineer can verify that all necessary data is present for troubleshooting (e.g., transceiver data, test results data, deployment environment data, etc.). Additional testing or inspection can be performed if further data is needed, or the engineer can upload such information to the issue dashboard manually.

[0193] Following the steps outlined above with reference to FIG. 12, the root cause analysis engine (e.g., root cause analysis engine 1546) is invoked to predict the root cause of the transceiver’s failure, using the transceiver data and test results data as input (step 906). If a root cause is found (step 908), the root cause findings are uploaded to the issue dashboard (step 910) and the transceiver status is updated (step 912). Details regarding operation of the root cause analysis engine are provided at length above, and thus are not repeated here. Here, the engineer can verify that the root cause predicted by the root cause analysis engine is in fact correct. If a root cause was not found, however, the engineer can confirm whether predicting a root cause is possible, and if so. can adjust the input data and repeat the root cause analysis. Further, a troubleshooting analysis report can be prepared to support the engineer, and where needed, a discussion with the manufacturer can be initiated to assist with identifying the root cause.

[0194] Next, a determination is made as to whether the issue impacting the transceiver is covered by warranty (step 914). If so. the type of issue can be determined (e.g., incorrect EEPROM parameters, BER violation, etc.), and the steps for finding a solution are identified (step 916). If a solution to the issue is actually possible (step 918), the solution finding engine (e.g., solution finding engine 1548) is invoked, using the root cause, the transceiver data, the test results data, and the deployment environment data as input. Details regarding operation of the solution finding engine are provided at length above with reference to FIG.Attorney Docket No. 065015-501001 WO

[0195] 12, and thus are not repeated here. If a solution for mitigating the failure is found (step 922), the issue can be marked as fixed in the issue dashboard (step 924). In some embodiments, the engineer can verify that the proposed solution is correct. In further embodiments, the engineer can triage the solution by shipping the item for repair. If the solution finding engine cannot find a solution, however, a troubleshooting analysis report can be prepared to support the engineer. A discussion with the manufacturer can also be initiated to assist with identifying the root cause, if necessary.

[0196] The process 900 illustratively ends at step 926.

[0197] As described above, the steps shown in FIG. 13 are merely examples for illustration, and certain other steps may be included or excluded as desired. Further, while a particular order of the steps is shown, this ordering is merely illustrative, and any suitable arrangement of the steps may be utilized without departing from the scope of the embodiments herein.

[0198] Referring next to overall system architecture, FIG. 15 is a diagram illustrating a simplified system-level architecture including the robotic platform 100 and a control device 1500 according to embodiments of the present disclosure. Operationally, the control device 1500 can be used with one or more embodiments described herein primarily to provide instructions (e.g., instructions 1570) to the robotic platform 100 for controlling the operation thereof. Most notably, the control device 1500 can provide the input files, such as firmware files, EEPROM bin files, and other related information, so the robotic platform 100 can flash and label optical transceivers, as described above.

[0199] As shown, the control device 1500 can include one or more network interfaces 1510, one or more processors 1520, and a memory 1540 interconnected by a system bus 1550. The control device 1500 can be powered by a power supply 1560.

[0200] The network interfaces 1510 can include the mechanical, electrical, and signaling circuitry for communicating data over physical links coupled to the robotic platform 100, as well as any other networks. The network interfaces 1510 may be configured to transmit and / or receive data using a variety of different communication protocols, such as USB or I2C, as described above, or any other communication protocols. Notably, a physical network interface 210 may also be used to implement one or more virtual network interfaces, such as for virtual private network (VPN) access, known to those skilled in the art.

[0201] The memory 1540 can include a plurality of storage locations that are addressable by the processor(s) 1520 and the netw ork interfaces 1510 for storing software programs and data structures associated with the embodiments described herein. The processor 1520 may comprise necessary elements or logic adapted to execute the software programs andAttorney Docket No. 065015-501001 WO

[0202] manipulate the data structures 1544. An operating system 1542, portions of which are typically resident in memory 1540 and executed by the processor(s) 1520, functionally organizes the device 1500 by, inter alia, invoking network operations in support of software processors and / or services executing on the device. These software processors and / or sendees may comprise a root cause analysis engine 1546 and a solution finding engine 1548, as described herein, any of which may alternatively be located within individual network interfaces.

[0203] It will be apparent to those skilled in the art that other processor and memory ty pes, including various computer-readable media, may be used to store and execute program instructions pertaining to the techniques described herein. Also, while the description illustrates various processes, it is expressly contemplated that various processes may be embodied as modules configured to operate in accordance with the techniques herein (e.g., according to the functionality of a similar process). Further, while processes may be shown and / or described separately, those skilled in the art will appreciate that processes may be routines or modules within other processes.

[0204] The root cause analysis engine 1546 and solution finding engine 1548 can include computer executable instructions that, w hen executed by processor(s) 1520, cause the control device 1500 to perform root cause analysis to determine the root cause of failure for a problematic optical transceiver and determine a solution to mitigate said failure, as described above with reference to FIGS. 12 and 13. In various embodiments, the root cause analysis engine 1546 and solution finding engine 1548 may utilize machine learning techniques to predict root causes for failure or solutions to mitigate the failure and leam based on feedback to make such predictions more accurately over time.

[0205] In general, machine learning is concerned with the design and the development of techniques that take as input empirical data (e.g., troubleshooting data such as faulty EEPROM parameters, transmit and receive power, laser bias current, bit error rate (BER), laser bias current, application select fields, and so forth), and recognize complex patterns in these data. One very common pattern among machine learning techniques is the use of an underlying model M, whose parameters are optimized for minimizing the cost function associated to M, given the input data. For instance, in the context of classification, the model M may be a straight line that separates the data into two classes (e.g., labels) such that M = a*x + b*y + c and the cost function would be the number of misclassified points. The learning process then operates by adjusting the parameters a,b,c such that the number of misclassified points is minimal. After this optimization phase (or learning phase), the modelAttorney Docket No. 065015-501001 WO

[0206] M can be used very' easily to classify new data points. Often, M is a statistical model, and the cost function is inversely proportional to the likelihood of M, given the input data.

[0207] In various embodiments, root cause analysis engine 1546 and solution finding engine 1548 may employ one or more supervised, unsupervised, or semi -supervised machine learning models. Generally, supervised learning entails the use of a training set of data, as noted above, that is used to train the model to apply labels to the input data. For example, the training data may include sample EEPROM parameters and BER values of optical transceivers that comply, or fail to comply, with requirements of the deployment environment and are labeled as such. On the other end of the spectrum are unsupervised techniques that do not require a training set of labels. Notably, while a supervised learning model may look for previously seen patterns that have been labeled as such, an unsupervised model may instead look to whether there are sudden changes in the behavior. Semi-supervised learning models take a middle ground approach that uses a greatly reduced set of labeled training data.

[0208] Example machine learning techniques that root cause analysis engine 1546 and solution finding engine 1548 can employ may include, but are not limited to, nearest neighbor (NN) techniques (e.g., k-NN models, replicator NN models, etc.), statistical techniques (e.g., Bayesian networks, etc.), clustering techniques (e.g., k-means, mean-shift, etc ), neural networks (e.g., reservoir networks, artificial neural networks, etc.), support vector machines (SVMs), logistic or other regression. Markov models or chains, principal component analysis (PCA) (e.g., for linear models), multi-layer perceptron (MLP) ANNs (e.g., for non-linear models), replicating reservoir networks (e.g., for non-linear models, typically for time series), random forest classification, or the like.

[0209] The performance of a machine learning model can be evaluated in a number of ways based on the number of true positives, false positives, true negatives, and / or false negatives of the model. For example, the false positives of the model may refer to the number of times the model incorrectly predicted a root cause for the compliance failure of a given transceiver. Conversely, the false negatives of the model may refer to the number of times the model predicted that no root cause is found when, in fact, a root cause is identifiable. True positives and negatives may refer to the number of times the model correctly identified a root cause for a given failure or correctly determined no such root cause is found, respectively. Related to these measurements are the concepts of recall and precision. Generally, recall refers to the ratio of true positives to the sum of true positives and false negatives, which quantifies the sensitivity of the model. Similarly, precision refers to the ratio of true positives the sum of true and false positives.Attorney Docket No. 065015-501001 WO

[0210] As noted above, the control device 1500 can control operation of the robotic platform 100 by sending instructions 1570 to the platform 100. Conversely, the robotic platform 100 can provide the control device 1500 with data 1580 acquired during operation to allow the control device 1500 to continually monitor the flashing and labeling sequences.

[0211] The control device 1500 can control the flashing sequence carried out by the flashing module 300 of the robotic platform by interfacing with the PCB board of the robotic platform 100. The control device 1500 can provide providing flashing instructions 1570 to the robotic platform 100, which in turn are implemented by the flashing module 300. The instructions 1570 provided by the control device 1500 can include, for instance, a firmware file or an EEPROM bin file that is written to the connected transceivers by the flashing module 300. In some embodiments, the flashing instructions 1570 provided by the control device 1500 can include USB instructions. The robotic platform 100 can then translate the USB instructions to I2C signals, enabling the flashing module 300 to rewrite firmware or update EEPROM registries directly on each optical transceiver according to the received flashing instructions 1570.

[0212] As noted above, the robotic platform 100 can configured with a Silicon Labs® CP2112 USB-to-SMBus bridge chip 105 that converts USB signals (e g., instructions 1570) from a computer, such as the control device 1500, into SMBus (System Management Bus) or I2C signals. The CP2112 chip 105 thus makes it possible for the control device 1500 to communicate with I2C devices by translating USB commands into the necessary SMBus / I2C protocol. Furthermore, the flashing module 300 can be equipped with QSFP-DD connectors 110, often used in high-speed data communication systems, like data centers, to interface with QSFP-DD optical transceivers (e g., a 400G-DR4 QSFP-DD transceiver). These transceivers can use I2C for low-speed communication and control purposes, such as reading diagnostic information, setting operational modes, and so forth. The CP2112 chip 105 can be connected to the I2C pins of the QSFP-DD connector 110 on the PCB, allowing for communication with the QSFP-DD transceiver’s control and the management interface using the I2C protocol. It should be noted, however, that the connectors 110 of the robotic platform 100 can include any variety of optical transceiver connector, and QSFP-DD connectors are mentioned herein merely as an example.

[0213] Meanwhile, the control device 1500 can execute flashing software, such as LabVIEW 1549, a graphical programming platform developed by National Instruments® often used for hardware interfacing. LabVIEW 1549 communicates with the CP2112 chip 105 of the robotic platform 100 via a SLABHIDtoSMBus.dll library which is a DLL provided byAttorney Docket No. 065015-501001 WO Silicon Labs® (manufacturer of the CP2112 chip). This DLL allows for accurate and consistent data transfer over the SMBus for each transceiver and provides various functions required to interface with the CP2112 chip 105, including:

[0214] Initializing the CP2112 chip 105 and setting operating parameters like I2C clock frequency.

[0215] Sending data to a specific address of a QSFP-DD transceiver on the I2C bus via the QSFP-DD connectors 110.

[0216] Reading I2C registers of the QSFP-DD transceiver, including diagnostic data such as temperature, voltage, and operating status.

[0217] The RS232 Serial Hub to USB setup of the robotic platform 100 can provide for fast communication between the control device 1500 and the articulating arm 310 via the CP2112 chip 105. Thus, using the data 1580 received from the robotic platform 100 as input, the control device 1500 is able to perform real-time monitoring and maintain complete control over the flashing sequence. The control device 1500 can also perform real-time diagnostics by monitoring live DMI data for operational performance. Lastly, the control device 1500 can leverage the machine learning-based root cause analysis engine 1546 and solution finding engine 1548 to analyze historical EEPROM data, anticipate potential failures, and predict solutions to such failures, thereby creating a feedback loop for continuous improvement.

[0218] With regard to use of feedback for continually improving the systems described herein, FIGS. 14A-14D are flowcharts illustrating simplified processes for implementing continuous system improvements for the robotic platform 100 and associated root cause analysis engine. For example, a specifically configured device (e.g., control device 1500) in conjunction with the robotic platform 100 may perform procedures 1000, 1100, 1200, 1300 by executing stored instructions and provide solutions for continually improving the processes described herein. The first procedure 1000 of FIG. 14A may start at step 1002, and continue to step 1004, where events related to transceiver testing and failures are stored (e.g., in the registration database). Test results data indicative of why a batch of transceivers is incompatible with a certain deployment environment are crucial to understanding how to resolve these issues in future transceivers. This data is used for updating the issue dashboard (step 1006), as described above, to provide for transceiver monitoring. Further, the performance of transceivers of each type and across various venders should be periodically assessed to identify issue trends, whether certain issues have been resolved, or whether new issues have arisen (step 1008). If these assessments detect a deterioration in performance or other anomalies, a discussion with the vendor can be initiated to address the issue. TheAttorney Docket No. 065015-501001 WO

[0219] process 1000 illustratively ends at step 1012.

[0220] The second procedure 1100 of FIG. 14B may start at step 1102, and continue to step 1104, where data characterizing issues, solutions, and root causes analyses across various transceivers is stored (e.g., in the registration database). This data is used for updating the issue dashboard (step 1106), as described above, to provide for transceiver monitoring.

[0221] Further, the accuracy or productivity of machine learning-based tools (e.g., root cause analysis engine 1546 and solution finding engine 1548), engineering practices, and types of issues should be periodically assessed (step 1108). The findings of the assessments can be used to develop improvements to the machine learning-based tools and engineering practices (step 1110). The process 1100 illustratively ends at step 1112.

[0222] The third procedure 1200 of FIG. 14C may start at step 1202, and continue to step 1204, where anew (i.e., previously undiscovered) root cause of transceiver failure, or anew solution for remedying the failure, is identified. Data characterizing the new root cause or new solution is generated in a format digestible by the machine learning-based models embodied in root cause analysis engine 1546 and solution finding engine 1548. respectively (step 1206), and the data is then inputted to those models such that the models can recognize and predict the new root cause or solution in the future (step 1208), thus creating a feedback loop for continuously improving the accuracy of predictions made by the models. The process 1200 illustratively ends at step 1212.

[0223] The fourth procedure 1300 of FIG. 14D may start at step 1302, and continue to step 1304, where a new type or model of optical transceiver is identified. Data characterizing the new transceiver type or model is generated in a format digestible by the machine learningbased models embodied in root cause analysis engine 1546 and solution finding engine 1548, respectively (step 1306), and the data is then inputted to those models such that the models can correctly analyze issues impacting the new device type or model in the future (step 1308), thus creating a feedback loop for ensuring the models are up-to-date and capable of assessing new types of optical transceivers. The process 1300 illustratively ends at step 1312.

[0224] As described above, the steps shown in FIGS. 14A-14D are merely examples for illustration, and certain other steps may be included or excluded as desired. Further, while a particular order of the steps is shown, this ordering is merely illustrative, and any suitable arrangement of the steps may be utilized without departing from the scope of the embodiments herein.

[0225] Accordingly, the robotic platform discussed herein provides a fully integrated workflow for flashing and labeling optical transceivers, with a focus on speed, accuracy.Attorney Docket No. 065015-501001 WO

[0226] and data integrity', allowing for processing and updating thousands of optical transceivers per day, and providing a scalable, efficient solution that reduces the need for manual intervention. At the heart of the platform is an articulating robotic arm, capable of executing the firmware or EEPROM writing and relabeling processes automatically. The automated nature of the robotic platform addresses both the volume and complexity' of updates required in modem Al data centers, eliminating bottlenecks and ensuring high-performance operation across various environments. The robotic platform also maintains synchronization of firmware and serial data, while ensuring that each transceiver meets required specifications before advancing to subsequent production stages.

[0227] In addition, the robotic platform discussed herein offers an improved approach to inspecting, testing, and validating optical transceivers, such as the 400G-DR4 QSFP-DD, by automating and significantly accelerating the process of testing and inspection, which in turn simplifies EEPROM data validation and enriches the quality of input and training data for use with Al-driven models for root cause analysis and solution finding. By ensuring robust data integrity and capturing critical performance metrics, the robotic platform ensures consistent functionality, enhances operational reliability, and supports scalable deployment in high-performance optical networks, while delivering increasingly accurate insights and recommendations for transceiver performance optimization and troubleshooting, and driving ongoing innovation in optical interconnect systems.

[0228] The foregoing description has been directed to certain embodiments of the present disclosure. It will be apparent, however, that other variations and modifications may be made to the described embodiments, with the attainment of some or all of their advantages.

[0229] Accordingly, this description is to be taken only by way of example and not to otherwise limit the scope of the embodiments herein. Therefore, it is the object of the appended claims to cover all such variations and modifications as come within the true spirit and scope of the embodiments herein.

Claims

Attorney Docket No. 065015-501001 WOWHAT IS CLAIMED IS:

1. A method comprising:mounting an optical transceiver onto an optical transceiver connector using an articulating robotic arm;obtaining test results data for the optical transceiver based on an analysis of characteristics of the optical transceiver and one or more requirements of a deployment environment in which the optical transceiver is to be deployed, the characteristics of the optical transceiver comprising at least electrically erasable programmable read-only memory (EEPROM) parameters of the optical transceiver;initiating a flashing sequence that updates the EEPROM parameters of the optical transceiver or a firmware of the optical transceiver, via the optical transceiver connector, based on the test results data indicating that the optical transceiver fails to comply with the one or more requirements of the deployment environment; andupon completion of the flashing sequence, dismounting the optical transceiver from the optical transceiver connector using the articulating robotic arm.

2. The method of claim 1, wherein the mounting, obtaining, initiating, and dismounting steps are executed by a robotic platform including the articulating robotic arm and the optical transceiver connector.

3. The method of claim 2, wherein the obtaining of the characteristics of the optical transceiver comprises:detecting the EEPROM parameters of the optical transceiver via the optical transceiver connector.

4. The method of claim 2, wherein the obtaining of the characteristics of the optical transceiver comprises:obtaining an image of the optical transceiver using an image sensor of the robotic platform; andextracting a serial number of the optical transceiver from the image.

5. The method of claim 2, wherein the obtaining of the characteristics of the optical transceiver comprises:Attorney Docket No. 065015-501001 WO measuring a bit error rate (BER) of the optical transceiver via the optical transceiver connector.

6. The method of claim 1, wherein the one or more requirements of the deployment environment are indicative of EEPROM parameters of the deployment environment; and wherein the obtaining of the test results data for the optical transceiver comprises: comparing the EEPROM parameters of the optical transceiver with the EEPROM parameters of the deployment environment.

7. The method of claim 6, wherein the test results data is indicative of a mismatch between the EEPROM parameters of the optical transceiver and the EEPROM parameters of the deployment environment.

8. The method of claim 1, wherein the one or more requirements of the deployment environment are indicative of a bit error rate floor (BERF) of the deployment environment; andwherein the obtaining of the test results data for the optical transceiver comprises: comparing a BER of the optical transceiver measured via the optical transceiver connector with the BERF of the deployment environment.

9. The method of claim 8, wherein the test results data is indicative of the BER of the optical transceiver violating the BERF of the deployment environment.

10. The method of claim 1, wherein the initiating of the flashing sequence comprises: determining whether to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver based on the test results data; andupdating either the EEPROM parameters or the firmware of the optical transceiver based on the determination.

11. The method of claim 1, wherein the initiating of the flashing sequence comprises: receiving, at a robotic platform including the articulating robotic arm and the optical transceiver connector, an updated EEPROM or firmware file based on the one or more requirements of the deployment environment from a control device interfacing with the robotic platform; andAttorney Docket No. 065015-501001 WOupdating the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver according to the received updated EEPROM or firmware file via the optical transceiver connector.

12. The method of claim 11, wherein, when the optical transceiver is mounted onto the optical transceiver connector, the optical transceiver connector is configured to communicate with the optical transceiver via Inter-Integrated Circuit (I2C) protocol.

13. The method of claim 12, wherein the robotic platform is configured to translate universal serial bus (USB) instructions from the control device to I2C signals, enabling the control device to control the flashing sequence.

14. The method of claim 1, wherein the mounting, obtaining, initiating, and dismounting steps are executed by a robotic platform including the articulating robotic arm and the optical transceiver connector, andwherein the robotic platform comprises a plurality of modules including a dispenser module, a flashing module, and a labeling module, the flashing module configured to carry out the flashing sequence via the articulating robotic arm and the optical transceiver connector.

15. The method of claim 14, wherein the optical transceiver connector comprises pins configured to connect to the optical transceiver and is located in a flashing port within a printed circuit board (PCB) array of the flashing module.

16. The method of claim 14, wherein the dispenser module is configured to hold a plurality of input trays, each of which arranged in a stack and containing a plurality of optical transceivers, and to feed the plurality of input trays one at a time to the flashing module.

17. The method of claim 16, further comprising:acquiring the optical transceiver from a first input tray among the plurality of input trays using the articulating robotic arm.

18. The method of claim 17, further comprising:Attorney Docket No. 065015-501001 WO after dismounting the optical transceiver from the optical transceiver connector, placing the optical transceiver back in the first input tray using the articulating robotic arm.

19. The method of claim 15, wherein the labeling module is configured to receive an input tray containing a plurality7of flashed optical transceivers from the flashing module and to apply a label to each of the plurality of flashed optical transceivers using a label printer of the robotic platform, the label indicative of an original serial number of a flashed optical transceiver and updated EEPROM or firmware settings of the flashed optical transceiver.

20. The method of claim 19. further comprising:acquiring the optical transceiver from the input tray containing the plurality7of flashed optical transceivers using a second articulating robotic arm of the robotic platform;applying the label to the optical transceiver using the label printer; andplacing the optical transceiver back in the input tray using the second articulating robotic arm.

21. The method of claim 20, further comprising:after placing the optical transceiver back in the input tray using the second articulating robotic arm, causing the input tray to be restacked with a plurality of input trays, each of which containing a plurality of optical transceivers having been flashed by the flashing module and labeled by the labeling module.

22. The method of claim 1, further comprising:initiating a root cause analysis process when the test results data indicate that the optical transceiver fails to comply with the one or more requirements of the deployment environment.

23. The method of claim 22. wherein the initiating of the root cause analysis process comprises:detecting a root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment using the characteristics of the optical transceiver and the test results data as input to a machine learning-based model that is configured to predict a root cause for incompatibility between a particular optical transceiverAttorney Docket No. 065015-501001 WOand a particular deployment environment.

24. The method of claim 23, wherein the machine learning-based model is trained using a training dataset comprising, in part, results of testing optical transceiver compatibility and performance across different deployment environments.

25. The method of claim 22. further comprising:initiating a solution finding process when a root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment is detected.

26. The method of claim 25, wherein the initiating of the solution finding process comprises:determining a solution for addressing the root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment using the root cause, the characteristics of the optical transceiver, and the test results data as input to a machine learning-based model that is configured to predict solutions for solving incompatibility between a particular optical transceiver and a particular deployment environment.

27. The method of claim 25, wherein a solution determined by the solution finding process comprises flashing the optical transceiver to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver, which is carried out via the flashing sequence.

28. The method of claim 1, wherein the deployment environment comprises a data center.

29. A robotic platform comprising:an optical transceiver connector including pins configured to connect to an optical transceiver and located in a flashing port within a printed circuit board (PCB) array of the robotic platform; andan articulating robotic arm configured to acquire an optical transceiver from an input tray, mount the optical transceiver onto the optical transceiver connector, dismount theAttorney Docket No. 065015-501001 WO optical transceiver from the optical transceiver connector, and place the optical transceiver back in the input tray.

30. The robotic platform of claim 29, wherein the optical transceiver connector is configured to update EEPROM parameters of the optical transceiver or a firmware of the optical transceiver according to a flashing sequence when the optical transceiver is mounted onto the optical transceiver connector.

31. The robotic platform of claim 30, wherein the articulating robotic arm is further configured to dismount the optical transceiver from the optical transceiver connector upon completion of the flashing sequence.

32. The robotic platform of claim 29, further comprising a flashing module configured to receive the input tray, the flashing module comprising the articulating robotic arm and the optical transceiver connector.

33. The robotic platform of claim 32, further comprising a dispenser module comprising an input tray holding apparatus configured to hold a plurality of input trays, each of which arranged in a stack and containing a plurality of optical transceivers.

34. The robotic platform of claim 33, wherein the flashing module is further configured to receive the input tray among the plurality of input trays from the dispenser module.

35. The robotic platform of claim 34, wherein the flashing module and the dispenser module are operatively coupled to each other via one or more conveyor belts.

36. The robotic platform of claim 32, further comprising a labeling module arranged to receive the input tray from the flashing module.

37. The robotic platform of claim 36, wherein the labeling module includes a label printer configured to apply a label to the optical transceiver having been flashed according to a flashing sequence by the flashing module.

38. The robotic platform of claim 37, wherein the label is indicative of an original serialAttorney Docket No. 065015-501001 WOnumber of the optical transceiver and updated EEPROM or firmware settings of the optical transceiver.

39. The robotic platform of claim 34, wherein the flashing module and the labeling module are operatively coupled to each other via one or more conveyor belts.

40. A system comprising:a robotic platform comprising an articulating robotic arm and an optical transceiver connector, the articulating robotic arm configured to mount an optical transceiver onto the optical transceiver connector, the optical transceiver configured to update EEPROM parameters of the optical transceiver or a firmware of the optical transceiver according to a flashing sequence, and the articulating robotic arm further configured to dismount the optical transceiver from the optical transceiver connector upon completion of the flashing sequence; anda control device configured to interface with the robotic platform, the control device comprising a memory storing program instructions and a processor configured to execute the program instructions, which when executed cause the control device to initiate the flashing sequence via the robotic platform.

41. The system of claim 40, wherein, when test results data indicate that the optical transceiver fails to comply with one or more requirements of a deployment environment in which the optical transceiver is to be deployed, the control device is further configured to initiate a machine-learning based root cause analysis process configured to detect a root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment, using characteristics of the optical transceiver and the test results data as input.

42. The system of claim 41, wherein the control device is further configured to initiate a machine-learning based solution finding process configured to determine a solution for addressing the root cause of the optical transceiver failing to comply with the one or more requirements of the deployment environment, using the root cause, the characteristics of the optical transceiver, and the test results data as input.

43. The system of claim 42, wherein the solution determined by the solution findingAttorney Docket No. 065015-501001 WOprocess comprises flashing the optical transceiver to update the EEPROM parameters of the optical transceiver or the firmware of the optical transceiver, which is carried out via the flashing sequence.

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