1100 results about "Remote operation" patented technology

The invention discloses a multi-terminal mixed intelligent inspection and task scheduling method and system based on air-ground-person cooperation. The method comprises the following steps: constructing dynamic unknown environment active cognition; updating dynamic unknown environment active cognition; the candidate path segments are evaluated through a path cost evaluation function, path reachability judgment is performed based on a cost value, and an exploration guide item is introduced to actively guide an inspection carrier to enter an unknown area to realize synchronization of task execution and map expansion; in combination with semantic task description, real-time states of multiple inspection carriers and an updated global environment model, task dynamic allocation and path collaborative optimization are performed, and the emergency, execution efficiency and resource utilization rate of inspection tasks of multiple terminals are balanced; the operation state and environment cognitive quality of each inspection carrier are monitored in real time, and an MR teleoperation intervention mechanism is automatically triggered when it is detected that continuous planning fails, sensing confidence is lowered or a key unknown area is entered; projecting a global environment model, real-time sensing data and a planned path to an operator MR device in an immersive manner, guiding by an operator through gestures, gazing or voice, and finishing path correction or task redistribution by adopting a progressive sharing control strategy and fusing with a manual instruction and autonomous planning; a successful MR intervention process of an operator and a context environment thereof are recorded in a context memory library, and when a similar task or environment scene is encountered subsequently, a verified guide strategy or control parameter is actively recommended.

The embodiment of the invention provides an excavator handle control system for remote operation, a handle control method based on a Hall sensor is adopted, non-contact rocker data sensing is achieved, the influence of contact and movement abrasion on the service life of a handle is reduced, and the excavator handle control system has the advantages of being high in sensitivity and good in performance; the handle mechanism is more flexible to operate, and the service life of the handle is prolonged; a two-hand cooperative control mode is adopted, and two three-degree-of-freedom handles are used for simulating the driving environment of a real excavator, so that a good remote control effect is achieved, and the feeling of presence of an operator in the remote operation process is improved; the operation habits of a driver are fully considered, the walking and working of the excavator are respectively controlled through combination of different degrees of freedom of the left hand handle and the right hand handle, an operating lever of the real excavator is simulated in the aspects of structure, motion degree of freedom and working range, and the man-machine interaction environment of excavator driving is restored.

The invention relates to the technical field of power system automation, discloses a remote operation and maintenance method, system and equipment for wide-area substation automation equipment, and aims to solve the problems of data islanding, inaccurate diagnosis, strategy stiffness, low safety cooperation efficiency and the like in remote operation and maintenance of the wide-area substation automation equipment. According to the method and the system, a comprehensive platform is constructed, and multi-source heterogeneous data acquisition, intelligent fusion analysis, fault diagnosis and prediction, adaptive strategy generation, security remote control and block chain evidence storage and collaborative operation and maintenance are integrated. The method can solve the problem of data islands, improve the diagnosis and prediction precision and timeliness, optimize the operation and maintenance strategy, prolong the service life of equipment, and enhance the remote operation and maintenance safety and cooperation efficiency.

The derrick type continuous oil pipe integrated sidetrack drilling operation device is provided with a base, a derrick, an injection head installation support, an injection head, a lifting oil cylinder, a hydraulic clamp and a remote operation room, one side of the derrick is fully opened, the derrick and the base are both of a lightweight rigid structure, and the injection head is installed at the top of the derrick for remote control. After the base is arranged at a wellhead and is unfolded and installed, one side of the base is connected with the lifting oil cylinder, the other side of the base is in butt joint with the ramp and the pipe rack, the derrick is rapidly erected through the lifting oil cylinder, and after the injection head is hoisted to the top of the derrick, the injection head is rapidly installed and subjected to alignment adjustment through the injection head installation support and the adjusting structure. Meanwhile, the tool rod and the elevator are arranged at the injection head, the tool rod is pulled and placed through the injection head, an oil pipe column and a sucker rod can be independently lifted or lowered, the oil pipe column and the sucker rod are pushed into a ramp from one side of an opening of a derrick, integrated sidetrack drilling operation of the coiled tubing is achieved, and sidetrack drilling efficiency and operation safety of the coiled tubing are remarkably improved.

The invention discloses a bridge girder erection machine structure health intelligent management system and an intelligent management method thereof. The system comprises a state data acquisition unit, a data preprocessing module, a structure state modeling module, a state prediction and residual life estimation module, an early warning and control module, a self-learning and optimization module and a system integration module. The method comprises sensor deployment, data preprocessing, structural state modeling, state prediction and residual life estimation, early warning and control, self-learning and optimization and system integration. Structural state monitoring data are collected in real time through a sensor, a structural state model is constructed after preprocessing, a future state is predicted in combination with time sequence prediction and a mechanism model, and the remaining safe life and risk points are estimated. And the system triggers multi-stage early warning according to a prediction result, executes an active maintenance control strategy, and continuously improves a prediction model through a self-learning and optimization module. According to the invention, real-time health management, remote operation and full-life-cycle risk control of the bridge girder erection machine structure can be realized.

The invention provides an automatic driving hazard scene detection method and system, electronic equipment and a vehicle, and relates to the technical field of automatic driving. According to the method, a multi-dimensional hazard scene detection rule system is established, so that accurate identification and response to key security events are realized. In the automatic driving operation process, the system continuously collects and compares a vehicle state signal with a preset triggering condition in real time, once any hazard scene condition is met, vehicle burying point data in a preset time window are collected and uploaded to a cloud end, and the vehicle burying point data are stored in the cloud end. Accident scene restoration, system risk assessment and fault root cause analysis are carried out based on the collected data, then a targeted safety repair scheme is generated, vehicle software is remotely upgraded in an OTA mode, closed-loop processing of safety problems and continuous optimization of the system are achieved, the safety, traceability and remote operation and maintenance capacity of the automatic driving system are effectively improved, and the safety and reliability of the automatic driving system are improved. And the running safety of the vehicle is ensured.

The invention provides a binocular vision teleoperation robot system, a robot and a teleoperation method and device, and relates to the technical field of computers. The method comprises the following steps: receiving a binocular video stream obtained by carrying out image acquisition on an actual scene by a binocular vision robot, and rendering the binocular video stream to obtain a three-dimensional scene; displaying the three-dimensional scene to an operator of the binocular vision robot to capture motion data of the operator observing the three-dimensional scene; determining a target area from the actual scene according to the action data, and obtaining a visual control instruction based on the target area; the vision control instruction is transmitted to the binocular vision robot for teleoperation; wherein the visual control instruction is used for adjusting imaging parameters of the binocular vision robot for image acquisition of an actual scene, and the visual direction of the binocular vision robot can be rapidly and naturally kept consistent with the attention point of the operator.

The invention relates to the technical field of pollution source monitoring, in particular to a stationary pollution source automatic monitoring method and system and a digital intelligent construction method thereof. S2, in a real-time monitoring stage, a multi-dimensional sensing array collects equipment health degree data and working condition parameters at high frequency, and a data collection device inputs real-time data into the ternary coupling reference model; s3, starting deviation traceability, and correcting equipment drift or working condition interference; s4, synchronously uploading the data to a remote operation and maintenance platform, pre-judging an equipment fault risk based on an equipment health degree change rate, and generating a maintenance work order 48 hours in advance; s5, for the predictive maintenance work order; and S6, automatically iterating the model monthly, incorporating the current-month effective monitoring data and maintenance records into the ternary coupling reference model, and optimizing the association weight. The method effectively guarantees the accuracy of the monitoring data of the stationary pollution source by constructing the ternary coupling reference model and combining the comparison and correction of the real-time monitoring data and the predicted value.

The invention discloses a method and a system for determining optimal parameters of an X-ray excited extra-high voltage composite apparatus, and relates to the technical field of extra-high voltage electrical equipment detection. The method comprises the following steps: remotely operating the X-ray machine and calculating partial discharge intensity; for the current irradiation position, the tube voltage and the tube current are gradually adjusted, parameters are dynamically optimized based on the quantitative relation between the partial discharge intensity and the radiation dose rate change rate, and the optimal parameters are recorded; and changing position repetition parameter optimization, and constructing a BP neural network model after data set training optimization so as to predict an optimal irradiation position. The optimized BP neural network adopts an improved sparrow search algorithm to optimize an initial weight and a threshold value, and combines Bayesian to optimize a learning rate and a hidden node number. Accurate optimization of excitation parameters and irradiation positions is achieved, detection accuracy and safety are both considered, the optimal irradiation position positioning efficiency is improved, and the method is suitable for ultra-high voltage GIS detection of different voltage grades.

The invention discloses an industrial equipment remote operation and maintenance management method based on digital twinning, and aims to solve the problems of deduplication, association and suppression of events and alarms and root cause fusion positioning under complex working conditions. According to the method, a multi-relation layered signed causal graph is constructed, a dynamic causal mask is generated according to a twinning state, causal structure learning is carried out under constraint, and graph anti-fact intervention and simulation of physical budget constraint and historical dual-channel consistency verification are combined; and the root cause priority and the evidence chain are generated by adopting topology perception contribution degree sorting, and the suppression strategy parameters are formed, so that the technical effects of reducing false alarms and repeated alarms, improving the root cause identification accuracy and processing efficiency and stably outputting the linkage work order are realized.

The invention discloses a robot remote operation and maintenance task scheduling and optimization method based on artificial intelligence, and the method comprises the following steps: collecting data, executing data cleaning, formatting and feature extraction, and forming a standardized feature vector set; constructing a state space, an action space and a reward function; the method comprises the following steps of: inputting an improved Distributional SAC (Software Consensus Consensus) task scheduling model; constructing a task demand matrix and a robot state matrix; generating a plurality of subtask sets, and establishing a high-level scheduling strategy according to task priority weights; in the low-layer execution network, a subtask strategy network is trained, and an action instruction set is generated to control the robot to execute tasks; updating strategy parameters based on environment feedback; establishing a self-adaptive hierarchy switching mechanism; and a hierarchical parameter updating mechanism is adopted to complete task scheduling and optimization. The improved reinforcement learning model is adopted, intelligent scheduling of robot operation and maintenance tasks is achieved, and the method has the advantages of being efficient, self-adaptive and high in stability.

The invention provides a high and low voltage power distribution cabinet remote operation and maintenance management and control system based on cloud computing, relates to the field of remote operation and maintenance management, and improves the accuracy and operation and maintenance efficiency of power distribution cabinet fault early warning. The method comprises the following steps: firstly, acquiring sensing data through an edge intelligent sensing module, performing multi-dimensional correlation analysis based on a static safety threshold, identifying an abnormal trend with spatial-temporal correlation, and generating a preliminary early warning; then, a cloud platform prediction decision module drives the digital twin model to carry out dynamic simulation, and a predictive maintenance strategy and a dynamic safety threshold are generated in combination with a prediction algorithm of a historical performance decline curve; and finally, the adaptive control execution module optimizes subsequent analysis by using a dynamic threshold value, and triggers a differential control action from monitoring adjustment to emergency isolation according to a strategy type. According to the invention, by constructing the closed-loop intelligent operation and maintenance architecture of cloud-side cooperation, the operation and maintenance mode transformation from passive response to active prediction is realized, and the reliability and safety of the operation of the power distribution system are significantly improved.

The invention relates to the technical field of digital twinning, in particular to a real-time interactive visualization system and method based on digital twinning, and the system comprises a data collection module which is used for configuring a multi-protocol adapter deployed on a physical equipment layer to collect the operation data of physical equipment, and transmitting the operation data of the physical equipment to an edge computing node. According to the method, the general data adapter is used for driving the three-dimensional rendering engine to execute real-time rendering based on physics, so that the virtual scene can dynamically reflect details such as illumination change and material aging of a physical entity, and high-fidelity visual feedback is provided. According to the method, a closed-loop control mechanism is established in combination with a multi-modal interaction framework, pure data monitoring is converted into operable bidirectional interaction, operation of a user on a visual interface can be converted into feedback instructions in real time to reversely adjust physical equipment, and the response efficiency of remote operation and maintenance is improved.

The present invention relates to the technical field of avionics equipment, and disclosed is a cross-domain maintenance decision-making method for coordinated optimization of maintenance service outlets, activities, and resources. The method comprises the steps of: on the basis of a fault phenomenon, acquiring a set of a variety of maintenance activities; determining whether resources required for a faulty product are missing at a current service outlet, and if the resources are missing, separately computing a resource scheduling time and cost required for each maintenance activity for which resources are missing; computing a fault repair time, repair costs, and repair probability of a certain maintenance activity; and determining a goal of a maintenance decision, and outputting an optimal maintenance scheme. The present invention can assist technicians in making maintenance decisions during maintenance of electronic products, reduce the waste of time and resources caused by the inconsistencies and uncertainties of maintenance activities, guide maintenance activities of remote operation and maintenance, reduce maintenance time, and reduce operation and maintenance costs.

The invention is suitable for the field of power terminal monitoring, and provides a power terminal monitoring method and system based on artificial intelligence, and the method comprises the steps: collecting and transmitting a monitoring data set of a photovoltaic module collected by a multi-mode sensing array; preprocessing the received monitoring data to generate a standardized feature data set; calling a targeted adaptive analysis model trained for the characteristics of the photovoltaic module; after the standardized feature data set is input into a targeted adaptive analysis model, the early hidden fault probability, the performance degradation rate prediction value and the real-time health degree score of the photovoltaic module are calculated and output through spatio-temporal feature fusion; the terminal control module is linked to execute local quick response and remote operation and maintenance scheduling; the monitoring dimension of a photovoltaic module is complemented through multi-modal sensing, the state of the module is accurately analyzed by means of a self-adaptive model fusing individual and group characteristics, timely response to operation and maintenance and continuous optimization of the model are realized in combination with graded early warning and closed-loop feedback, and the problem of monitoring defects of a traditional power terminal is effectively solved.

The invention discloses a photovoltaic panel inclination angle dynamic detection and adaptive adjustment system, and relates to the technical field of photovoltaic equipment. The system comprises a photovoltaic panel, a multi-sensor fusion detection module, an integrated intelligent maintenance mechanism, a mechanical adjustment mechanism, a controller, a meteorological data linkage module, a wireless communication and cloud monitoring module and a solar auxiliary power supply module, the multi-sensor fusion detection module is composed of an illumination intensity sensor, an image recognition sensor and a tilt angle sensor, the integrated intelligent maintenance mechanism comprises an automatic cleaning assembly and a mechanical overload protection mechanism, and the controller overall plans all the modules to achieve dynamic detection and self-adaptive adjustment of the tilt angle of the photovoltaic panel. According to the invention, the problems of easy shielding interference, low maintenance automation degree and the like of traditional system detection are solved, automatic maintenance and overload protection of the photovoltaic panel are realized, environmental adaptability is enhanced in combination with meteorological data, remote operation and maintenance can be realized, and photovoltaic power generation efficiency is effectively improved.

The invention discloses an intelligent operation and maintenance method and system for a rail transit communication machine room based on digital twinning, and belongs to the technical field of digital twinning and three-dimensional visualization of a rail transit system. An intelligent operation and maintenance server side in the system comprises a data acquisition module, a three-dimensional modeling module, a digital twinning engine module and a database module; the intelligent operation and maintenance client comprises a dynamic loading scheduling module, a real-time data binding module and a visual interaction module; according to the system, a lightweight Web3D engine is adopted to dynamically load and render a three-dimensional model of a communication machine room as required, and real-time sensing, data synchronization, fault warning and remote operation and maintenance of the operation state of communication equipment are realized in combination with a digital twinning technology. According to the method, the functions of hierarchical loading of a multi-level model, alarm driving state rendering, operation and maintenance closed-loop management and the like can be realized. Compared with the prior art, the method has the advantages of light model weight, quick response, easiness in deployment, high expandability and the like, and is widely applicable to communication infrastructure operation and maintenance scenes in the field of rail transit.

The invention discloses a method and a system for realizing remote operation and maintenance of equipment through cooperation of an industrial intelligent gateway and a cloud platform, and relates to the technical field of remote operation and maintenance of industrial Internet of Things, and the method comprises the following steps: the gateway collects multi-modal data of the equipment and locally preprocesses the multi-modal data to generate a structured data packet; lightweight Transform model forward propagation is executed, and an encrypted feature vector is extracted and uploaded to a cloud platform; the cloud platform adopts federated learning to update model parameters based on the feature vectors, issues the model parameters to the gateway, and synchronously constructs equipment digital twin bodies; analyzing the natural language operation and maintenance instruction through the digital twin to generate a control command; an equipment association graph is constructed, a fault propagation path is analyzed by using a graph convolutional network (GCN), and an early warning is generated; and after executing the control instruction, the gateway feeds back state data to the cloud platform, updates the digital twin and model input, and forms closed-loop control. According to the invention, collaborative optimization of data privacy protection, cross-device fault prediction and intelligent decision is realized, and the operation and maintenance efficiency and security are improved.

The invention discloses a humanoid robot teleoperation system and a control method thereof. The system comprises the steps that an exoskeleton unit collects joint angle information and arm length information of arms of an operator; the data glove collects finger joint angle information of an operator; the inertial measurement unit collects space attitude information of the head and the chest of an operator; the double-shaft control pedal is used for generating integral moving, lifting and rotating control signals of the humanoid robot on the basis of foot actions of an operator; and the central controller receives the arm joint angle information, the arm length information, the finger joint angle information, the head and chest space attitude information and moving, lifting and rotating control signals of the humanoid robot, obtains a whole-body cooperative motion control instruction of the humanoid robot through kinematics calculation, and sends the whole-body cooperative motion control instruction to a control end of the humanoid robot. The high-fidelity teleoperation of the whole-body motion of the humanoid robot is realized by fusing the collected whole-body motion data of the operator and combining the self-adaptive kinematics of the central controller for resolving.

The invention discloses an insulin pump safety reminding system based on remote communication, and the system comprises an insulin pump terminal which is used for collecting equipment operation parameters, and receiving and executing a verified operation instruction; the patient monitoring terminal is bridged with a data transfer interface, a local data encryption cache interface, a graded early warning display interface and a remote man-machine interaction interface of the insulin pump terminal and the hospital comprehensive management platform; the graded authorization user terminal receives early warning information related to the insulin pump terminal, checks the state of a patient and initiates a remote operation request; the hospital comprehensive management platform is in communication connection with each terminal, manages each terminal, performs data aggregation and intelligent analysis, generates early warning information based on a multi-dimensional rule, and performs authority management and auditing and multi-source data fusion application; and the safety communication and control module is used for guaranteeing data transmission safety, operation instruction compliance and system emergency fault-tolerant operation. According to the invention, cross-time-space safety protection and active early warning can be realized, the treatment safety and management efficiency are improved, and the method is suitable for medical and pension institutions at all levels.

The invention belongs to the technical field of maintenance of upper reactor internals of a reactor, and particularly relates to a process and a device for maintaining a bolt locking cap of a control rod guide cylinder of an upper reactor internals. Comprising a bolt torque reinspection tool and a locking cap automatic bending tool. The bolt torque reinspection tool is matched with a torque wrench to realize reinspection of bolt torque; the automatic bending tool for the locking cap is used for controlling the bulging claw to correspond to a groove of a locking bolt head and driving the bulging claw to press downwards to bend the locking cap, so that looseness prevention of the bolt is achieved. The device has the beneficial effects that a bolt torque reinspection tool and an automatic locking cap bending tool are conveyed to a working area through a ring crane, and the field environment is not changed; the bolt torque reinspection tool and the locking cap automatic bending tool are both of a long-rod-shaped structure as a whole, an operator can perform remote operation on an operation platform, and whether the torque of the guide cylinder bolt meets the locking requirement or not can be inspected in cooperation with a torque spanner.

A vehicle teleoperation system may comprise a single, integrated unit that is installed within a vehicle to enable remote driving operations. The vehicle teleoperation system may include a processing island, a connectivity island, a safety island, and various interfaces by which to connect the vehicle teleoperation system to various systems onboard a vehicle. For example, the vehicle teleoperation system may receive and process various sensor data, transmit the sensor data for presentation to a teleoperator at a teleoperator station, receive and process user commands from the teleoperator at the teleoperator station, and instruct remote execution of the user commands by the vehicle.

A remote operation notification system includes a determination section and a notification section. The determination section is configured to determine whether there is a remote operation performed by a worker of a board work machine configured to perform predetermined board work on a board. The notification section is configured to give a notification of the remote operation performed by a specific worker of the board work machine, who is the worker who performs the remote operation on the board work machine, to at least a general worker, who is the worker other than the specific worker, among the specific worker and the general worker when the determination section determines that there is the remote operation.

In some aspects, a user equipment (UE) may send, to an audio device, audio data associated with an audio playback. The UE may send, to a media player user interface associated with a wearable device, an update associated with the audio playback. The UE may receive, from the wearable device, a message indicating that a display screen associated with the wearable device is turned off. The UE may send, to the audio device, an instruction associated with a remote action, wherein the remote action is associated with the audio playback. The UE may refrain from sending, to the media player user interface associated with the wearable device, an update associated with the remote action based at least in part on the message indicating that the display screen is turned off. Numerous other aspects are described.

The embodiment of the invention provides an equipment remote operation method, a remote operation mechanical arm and a robot system, and relates to the field of equipment control. The method comprises the steps that in response to main mode switching operation of a user, the main mode of the teleoperation mechanical arm is switched into a first main mode, and the first main mode is any one of a remote control mode, a standby mode and an automatic mode; under the condition that the master mode of the teleoperation mechanical arm is the remote control mode, in response to sub-mode switching operation of a user, a remote control sub-mode of the teleoperation mechanical arm in the remote control mode is switched into a first sub-mode, and the remote control sub-mode comprises a clutch sub-mode and a master-slave mapping sub-mode; and under the condition that the remote control sub-mode is the master-slave mapping sub-mode, in response to a first moving operation of a user on the teleoperation mechanical arm, a corresponding control instruction is sent to the slave equipment, so that the slave equipment executes a moving operation corresponding to the first moving operation. According to the method provided by the invention, the flexibility of equipment remote operation is improved.

The invention discloses an operation and maintenance management method and system for a heating station, and relates to the technical field of heating station operation and maintenance management, and the method comprises the steps: obtaining the physical topological structure information of each heating station in a heat supply pipe network and the historical heat load response information of a corresponding user side; according to the physical topological structure information and the historical thermal load response information, the comprehensive correlation degree between any two heating stations is determined; based on the comprehensive correlation degree, the heating stations which are stable in operation state and have typical representativeness are screened out to serve as characteristic heating stations; generating a remote operation and maintenance strategy for the non-characteristic heating station by using the historical operation and maintenance record and the operation stability performance of the characteristic heating station; in the operation process of the system, performing consistency verification on the real-time operation data of the non-characteristic heating station and the associated characteristic heating station, and performing remote processing on an abnormal meter according to a remote operation and maintenance strategy; and according to the consistency verification result and the remote processing feedback, a heat supply equipment regulation and control instruction is generated and issued to an execution mechanism.

The invention discloses a remote operation and maintenance diagnosis and predictive maintenance system for heterogeneous equipment, and relates to the technical field of equipment operation and maintenance. The system comprises a data acquisition and access module, a data processing module, a diagnostic analysis module, a prediction maintenance module, a man-machine interaction module and a storage module. The data acquisition and access module supports multiple communication protocols and acquires operation data of heterogeneous equipment; the data processing module preprocesses the collected data and completes multi-source data fusion; the diagnosis analysis module realizes equipment real-time fault detection, fault positioning and fault type association through a two-layer detection mechanism, and generates a fault diagnosis report; and the prediction maintenance module outputs the residual service life and the potential fault risk of the equipment based on the prediction model, and generates a targeted maintenance strategy and plan. According to the system, the problems of difficult access of heterogeneous equipment, poor fault detection real-time performance and insufficient maintenance planning are solved, remote intelligent operation and maintenance are realized, and the equipment shutdown risk and the maintenance cost are reduced.

A power transformation equipment oil temperature prediction and abnormity early warning method based on a fuzzy algorithm comprises the following steps that real-time operation parameters and oil temperature historical data of power transformation equipment are collected, the data are preprocessed, and a high-quality input data set is constructed; constructing a fuzzy inference system considering multiple input factors, and setting a fuzzy membership function and an inference rule base; according to the fuzzy prediction result and the real-time oil temperature change, a self-adaptive dynamic safety threshold model is compared, a potential abnormal trend is identified, and automatic grading early warning is carried out according to the overtemperature grade; and corresponding exception type identifiers and disposal suggestions are generated and are pushed to the operation and maintenance platform through the communication module, so that remote operation and maintenance scheduling and response control are supported, and intelligent cooperative processing is realized. According to the invention, intelligent prediction of the oil temperature change trend under the influence of multiple factors is realized, the capability of sensing temperature rise abnormity in advance is improved, the accuracy of sensing the operation state of the equipment and the timeliness of early warning response are also remarkably improved, and the risk of equipment failure caused by the abnormal oil temperature is reduced.

A system for, and method of, remotely operating one or more vehicles in one or more inventory management facilities including one or more assets. The system and method include vehicles configured to move one or more assets in one or more inventory management facilities from a first location to a second location and a control station in communication with the one or more vehicles. The control station is remote from the one or more vehicles and communicates at least one operational command to the one or more vehicles to operate the one or more vehicles to perform one or more assigned tasks and / or operational workflows for the one or more vehicles.

A system and method of recentering an imaging device and input control devices includes a medical device having one or more end effectors, an imaging device, one or more input control devices for remotely operating the one or more end effectors, and a control unit including one or more processors coupled to the end effectors, the imaging device, and the input control devices. The control unit, in response to a recentering request, suspends remote operating control of the end effectors by the input control devices, determines a field of view recentering movement for the imaging device so that the end effectors are contained within a field of view space of the imaging device, determines one or more input control device recentering movements to provide a position and orientation harmony between each of the input control devices and a corresponding end effector of the end effectors, executes the field of view recentering movement and the input control device recentering movements, and resumes remote operating control of the end effectors by the input control devices.