87 results about "Remote machine" patented technology

XCB poly-radio devices as finders, locators, scanners, sensors, and Bluetooth (BT) radio topology reporters as part of a global lost-and-found services system. XCB devices function as “smart objects” and combine dual transceivers operating in the telecommunications and the low power ISM radio spectra, with default power management overrides under local control of the BT modem. “Familiar zones” are defined, and a “familiarity index” versus a “strangeness index” based on meta-analysis of BT radio contact logs are used to assign location. Location, in concert with other sensor data, is coupled to conditional logic rules programmable by the user or the system administrator. Locations, determined by monitoring familiar and unfamiliar BT radio topology, trigger executable commands to smartphones, to smart devices generally, and to remote machines, and can for example, generate alerts to a user if radiotagged assets, children or pets have strayed, are lost, or are left behind. When tied to cloud predictive services or increased edge computing capacity, incipient loss of radiotag objects can be detected before an owner knows the smart object is lost. In another embodiment, XCB devices having a novel chip architecture for improved power management of cellular and MCU circuits mediated by BT radio modem that achieves “situational awareness” by monitoring the BT signal environment around the device.

Systems and methods for on-board selection of data logs for training a machine learning model. The methods include, by an autonomous vehicle, receiving sensor data logs corresponding to surroundings of the autonomous vehicle from a plurality of sensors, identifying one or more events within each sensor data log. The methods also include, for each sensor data log: analyzing features of the identified one or more events within that sensor data log for determining whether that sensor data log satisfies one or more usefulness criteria for training a machine learning model, and transmitting that sensor data log to a remote computing device for training the machine learning model if that sensor data log satisfies one or more usefulness criteria for training the machine learning model. The features can include spatial features, temporal features, bounding box inconsistencies, or map-based features.

The present application relates to the technical field of multi-site active-active architectures, and specifically to a method and apparatus for executing a timed task in a multi-site active-active system. According to the present application, different ZKs are used as registration centers in a multi-site environment, the problem of repeatedly executing a timed task in a multi-site active-active system is solved, the method can be used in two remote machine rooms, master-standby switching can be carried out along with a database, delay is reduced, an independent ZK cluster is used, and the network and cluster election split brain problems generated by a cross-city ZK cluster are avoided; moreover, a slave machine and a master machine can adjust, on the basis of the read-write type of the task, the number of shards to be executed, the execution efficiency is ensured, Netty is used as a heartbeat interaction mechanism between timed tasks, the priority scheduling of the timed tasks is achieved by means of a customized sharding algorithm, and automatic master-standby switching can be achieved when a fault occurs to a certain site.

Systems and methods are provided for utilizing cursor prompt interfaces to facilitate multiple functionalities and techniques for interacting with content selected by corresponding cursor prompts. Selection of displayed content causes the cursor prompt interfaces to be generated and displayed with interactive components for generating new content corresponding to the selected content and that is based on a context of the application instance and / or a user context. In some instances, the cursor prompt interfaces also interact with remote machine-learning models to obtain the new content.

The invention relates to the technical field of tunneling construction equipment, in particular to a variable-distance energy supply device of a tunneling machine, a pipeline connection method and a tunneling method, and solves the problem of extension of a variable-distance pipeline between a tunneling main machine and a supply station in the prior art. The tunneling main machine is connected with the supply station through at least one pipeline unit, and every two adjacent pipeline units are connected through a pipeline connector. The supply station is provided with a first supply station interface and a second supply station interface; a telescopic pipeline supporting assembly is arranged on the inner wall of the tunneling tunnel, the pipeline supporting assembly is connected with the tunneling main machine, and the pipeline unit is installed on the pipeline supporting assembly. The heading machine has the advantages that the heading main machine is connected with the rear matching device through the variable-distance pipeline, the problems of power supply of the variable-distance remote main machine and transmission of various media in the prior art are solved, the effect that the connecting pipeline of the heading machine rapidly extends and fluid is not interrupted in the lengthening process is achieved, and operation efficiency is improved.

The invention relates to the technical field of robots, and discloses a collision early warning method and device in robot teleoperation, and the method comprises the steps: obtaining the visual information of the working environment of a remote robot and the motion state data of an end effector; environment three-dimensional modeling is carried out based on visual information, a three-dimensional environment model containing obstacles is generated, and a virtual protection area surrounding an end effector is dynamically generated based on end speed parameters in motion state data and system communication processing time delay; wherein the spatial range of the virtual protection area is expanded along with the increase of the terminal speed and the system communication processing time delay; performing collision risk assessment on the virtual protection area and an obstacle in the three-dimensional environment model to obtain a current collision risk level; and generating early warning information based on the collision risk level, and outputting a vision enhancement image through an operator terminal to guide an operator to avoid the collision risk based on the early warning information. According to the invention, the teleoperation safety can be improved.

An agricultural system includes: one or more sensors, remotely positionable from and communicably coupled to an agricultural work machine, configured to detect one or more machine operating effect attributes and generate sensor data indicative of the detected one or more machine operating effect attributes; a display screen; one or more processors; and memory storing instructions executable by the one or more processors. The instructions, when executed by the one or more processors, cause the one or more processors to: obtain the sensor data; and generate, based on the sensor data, an interface on the display screen, the interface indicating a location of each machine operating effect attribute of the detected one or more machine operating effect attributes relative to the agricultural work machine.

Complexity of voice based control of tele-robots increases when used in collaborative multi-presence systems, as tele-robot fail to differentiate between operator and observers, and hence may end up executing command from wrong person. Further, the tele-robot ends up losing energy as it listens continuously to speech from multiple people, which may or may not contain commands. Embodiments disclosed herein provide a telepresence system in which an Automatic Speech Recognition (ASR) component hosted on a cloud receives and processes speech signals, infers commands, and only the inferred commands are transmitted to the tele-robot, thereby causing energy saving at the tele-robot end as it doesn't have to listen to all the speech from all the operator and observers for the execution of the voice based navigation control command. Further, a dedicated channel is established between the operator at any instance and the tele-robot, enabling direct communication between the operator and the tele-robot.

Disclosed systems, apparatuses, and methods enable remotely controlling robotic-assisted medical systems, such as robotic-assisted surgery systems, for performing remote robotic-assisted medical procedures. Disclosed approaches provide a secure, efficient, and dynamically-created virtual network for connecting physician consoles and robotic-assisted medical systems. Disclosed approaches improve efficiency, security, scalability, and reliability of remote robotic-assisted medical procedures.

An integrated computer network security and threat prevention and detection platform includes a central processor and a display operable to aggregate and present data from a plurality of network security applications in an integrated dashboard format to a system administrator. The network security applications may be hardware, software, or hybrid applications running on local machines, local networks, remote machines, or remote networks, in communication with the central processor. In one embodiment implementation of the integrated computer network security and threat prevention and detection platform is performed on premises, in an alternative embodiment the integrated computer network security and threat prevention and detection platform is provided in an Internet or cloud-based environment, in other embodiments the computer system security platform is a hybrid configuration having both on-premises and cloud base components.

Technology is shown for dynamically attaching secure properties to an identity certificate. Claims determining secure properties for an identity are signed and embedded in an identity certificate. Both the identity certificate and the signed claims in the certificate are verified. When a service request is received from the identity, the signed claims from the identity certificate are checked to determine if the request is permitted. If the request is permitted, then the service request is processed. Some examples involve creating claims determining the secure properties for the remote machine, signing the claims to create the signed claims, distributing the signed claims to a certificate authority, embedding the signed claims in the remote machine identity certificate, and distributing the remote machine identity certificate. The claims can be embedded in the certificate as X.509 properties.

Described herein is a system and a method for collaborative training of a machine learning model for pose estimation. The system includes a remote computing device in communication with a local computing device, wherein the remote computing device is configured to instruct the local computing device to receive a first image; and generate a first pose datum as a function of the first image using a local machine learning model. The remote computing device is configured to receive, from the local computing device, the first pose datum; generate a second pose datum as a function of the first pose datum and the first image using a remote machine learning model; and configure the local computing device to retrain the local machine learning model as a function of the second pose datum.

Techniques are provided to allow less-than-perfect machines to remotely perform more complex operations. Operations that can be reliably performed by machines that have experienced hardware and / or software errors are referred to herein as Remote Direct Memory Operations (RDMO). Unlike RDMA, which typically involves very simple operations such as retrieving a single value from the memory of a remote machine, RDMO can be arbitrarily complex. The techniques described herein can help applications continue running without interruption when there are software failures or minor errors on the remote system with which the application interacts.

A system, method, and device for a remotely controlled robot unit affixed to a boom assembly. The robot unit comprises at least one arm for performing an action, a remotely controlled movable six-degree-of freedom camera mount, at least one camera disposed on the camera mount to capture visual information, and at least one depth camera disposed on the camera mount to capture three-dimensional depth information. Captured sensory information may be transmitted to an operator using a head mount and motion controls for controlling movement of the robot unit. Operator movement captured by the head mount and motion controls may be compared to a digital representation generated from the three-dimensional depth information to aid in positioning and moving the robot unit.

The invention relates to the technical field of computers, in particular to a remote robot control method, device and equipment and a medium. The method comprises the following steps: acquiring video data and audio data of a user in the same preset time period; performing feature extraction on the video data and the audio data in sequence to obtain video features and audio features; performing feature fusion on the video features and the audio features according to the quality dynamic weight to obtain fusion features; determining a motion posture based on the fusion feature; controlling the remote robot to perform remote assembly according to the motion posture, and sending visual data, force sense data and touch sense data of the remotely assembled remote robot to a user side of the user; and updating the quality dynamic weight based on the quality of the video data and the quality of the audio data, and after a preset time length, re-executing the step of obtaining the video data and the audio data of the user in the same preset time period. Through the configuration mode, the control precision of the remote robot can be effectively improved.

An agricultural system includes: a sensor system communicably coupled to and remotely positionable from an agricultural work machine at a worksite, the sensor system configured to detect one or more machine operating effect attributes corresponding to the agricultural work machine and generate sensor data indicative of the detected one or more machine operating effect attributes; one or more processors; and memory storing instructions, executable by the one or more processors. The instructions, when executed by the one or more processors cause the one or more processors to: obtain the sensor data indicative of the detected one or more machine operating effect attributes; identify the one or more machine operating effect attributes based on the sensor data indicative of the detected one or more machine operating effect attributes; and generate a control signal based on the identified one or more machine operating effect attributes.

Provided is to a remote robot control system. In addition, provided is a remote robot control system for controlling a robot, including: a robot control unit configured to select at least one controller and control the robot according to a control command input from the selected controller; a state display unit configured to display information about states of the robot and the controller; and an image output unit configured to receive image data from an image photographing device installed in the robot or installed around the robot and output the received image data in real time when the robot operates according to the control command, so that a worker or manager may select a desired controller to control the robot, and limitation of a working range may be minimized by using a remote client based on wireless communication.

Provided are a remote robot system and a control method for the remote robot system, which can appropriately respond to users. The remote robot system includes: a robot that performs a predetermined action including collection of local information around; a guide terminal that can remotely operate the action of the robot; and a participant terminal that can remotely communicate with the guide terminal. The participant terminal includes: a display panel that outputs the local information obtained from the robot to the user; and an interest detection unit that detects the user's interest in the output local information.

The invention discloses a machine learning privacy auditing method and system in a trusted execution environment, and belongs to the technical field of machine learning. The method comprises the steps of uploading a private data set to a remote machine learning service deployed in a trusted execution environment to train a target model, and obtaining measurement information of private data in each training round of the target model; synthesizing the measurement information in each training round to generate a measurement sequence of a plurality of training rounds; extracting dynamic characteristics of the measurement sequence; performing classification based on the dynamic features to obtain member relationship prediction results of the private data in a plurality of training rounds; and determining whether to continue training, suspend training or exit training according to a member relationship prediction result in the plurality of training rounds. According to the method, a privacy risk measurement and auditing mechanism which is fine in granularity, low in overhead and capable of being dynamically evaluated can be realized.

The application provides a remote robot inspection system, which comprises a monitoring terminal, a robot and a main control module. The monitoring terminal is used for acquiring and displaying feedback information of the robot, and is also used for determining a driving control instruction according to the feedback information and controlling the robot. The robot is used for inspecting a region to be inspected. The main control module is wirelessly connected with the monitoring terminal, and is used for receiving the driving control instruction and controlling a driving module according to the driving control instruction. The driving module is connected with the main control module, and is used for driving the robot to move. The driving module is also used for determining driving data and sending the driving data to the main control module. A collecting module is connected with the main control module, and is used for collecting information of the region to be inspected to obtain inspection data. The application solves the technical problem that the state of a power transmission line cannot be accurately and timely acquired in the prior art.

The application discloses a substation network channel fault analysis method, device and equipment, including responding to a fault analysis request, collecting telecontrol messages and network messages between a master station end and a remote machine end; based on the telecontrol messages, determining whether a network channel has a fault; if yes, analyzing a flag field in the network messages to determine whether a fault interruption mode of the network channel is a full fault; when the fault interruption mode is the full fault, based on a request message associated with the master station end, a response message associated with the remote machine end and the flag field, determining a fault type corresponding to the network channel; the application solves the technical problem that a traditional method of manually analyzing and positioning a fault position of a network channel is relatively complex, sometimes multiple repeated tests are needed to position the network channel fault, and a large amount of manpower and time are consumed in the process, resulting in low efficiency of analyzing the network channel fault.

The invention relates to the field of remote machine control, and provides a mechanical arm attitude control method and electronic equipment, and the method comprises the steps: determining a plurality of reference points in a reachable working space of a mechanical arm; acquiring an approximate reachable attitude range of the mechanical arm at each reference point; a target position value and a target posture value in a control instruction of a user to the mechanical arm are obtained; selecting a plurality of nearest neighbor reference points corresponding to the target position value from the plurality of reference points; determining a target reachable attitude range corresponding to the target position value according to the distance between the target position value and each nearest neighbor reference point in the plurality of nearest neighbor reference points and the approximate reachable attitude ranges of all the nearest neighbor reference points; and determining whether to update the target attitude value or not according to a comparison result of the target attitude value and the target reachable attitude range. By means of the method, the precision of attitude control over the mechanical arm can be improved.

Embodiments of the present invention discloses a system and method for detection and on-demand disinfection of remote machines. The system comprises a computing device, a communication device, and a VM controller. The VM controller is configured for evaluating if the executable file sample received has been analyzed before. The VM controller script module is further configured for running a virtual machine (VM) to check status of the executable file sample. The VM controller is further configured for activating a driver register. The VM controller is further configured for generating a file sample analysis report based on the series of events. The VM controller is further configured for classifying the executable file sample based on the series of events and the file sample analysis report.

The present disclosure provides a remote machine time synchronization method and device, a storage medium and an electronic device, and relates to the technical field of mobile communication. First synchronization information and a transmission signal sent by a near-end machine are received; second synchronization information is extracted from the transmission signal; and a time synchronization signal of the remote machine is determined according to the first synchronization information and the second synchronization information. The present disclosure obtains the first synchronization information by demodulating the signal of the near-end machine, and the remote machine performs correlation detection by using the first synchronization information and the transmission signal, so that the accurate time synchronization signal is obtained at the remote end with lower cost without additional feeder.

The present disclosure generally relates to systems, methods and devices for remote ultrasonography. The system may include a local control system comprising an input device and at least one local processor coupled to the input device; a remote robotic ultrasound system comprising a motion subsystem and at least one local processor coupled to the motion subsystem, wherein the at least one local processor, of the local control system, is operable to: detect a new positional state for the input device; obtain positional data corresponding to the new positional state; generate, based on the positional data, input-side motion demand data; and transmit the input-side motion demand data to the remote robot system, wherein the at least one remote processor, of the remote robot system, is operable to: receive the input-side motion demand data; and adjust a positional state of the motion subsystem, based on the input-side motion demand data.

The surgical equipment (100) comprising: a multifunctional laparoscopic instrument (1) provided with: at least one manipulation member (2) adapted to be manually held by an operator; o at least one working tool (3) associated with the manipulation member (2) and adapted to be inserted within a surgical site (C) for the execution of a surgical-laparoscopic operation; o actuation means (4) associated with the manipulation member (2) and configured to operate the working tool (3); - a remote robotic instrument (R) provided with an additional tool (18) adapted to operate at the same surgical site (C) as the working tool (3), the remote robotic instrument (R) comprising at least one joint (19) operable to move the additional tool (18) and provided with a predefined number of degrees of freedom; where the laparoscopic instrument (1) comprises command means (5) associated with the manipulation member (2), which can be activated by the operator and configured to operate the remote robotic instrument (R) and comprises switching means (9) associated with the manipulation member (2) and adapted to activate / deactivate the command means (5), wherein the switching means (9) comprise safety sensors (10) adapted to detect the position of the manipulation member (2) with respect to said surgical site (C) and to generate at least one position signal and it comprises at least one electronic control unit (11) configured to activate the command means (5) depending on the position signal.

Techniques described herein are directed to supporting remote management of machine learning models hosted through network functions in advanced communication networks. Remote management may include model training on a more powerful remote machine and model selection based on target performance data. A model host (network function) sends capability data including metadata of a local machine learning model to an operator, and then remotely configured by the operator to enhance inference accuracy and speed at the network function hosting the model. The model host may retrain the model based on the local data and request remote training if the retrained model does not meet performance criteria. Alternatively, the model host may select a model from a set of models and request a new model if none of the selected models in the set does not meet the performance criteria.

The invention discloses a teleoperation man-machine interaction system and method, and belongs to the technical field of robot control, the teleoperation man-machine interaction system comprises a local side device, a communication device and a remote side device; the local side equipment comprises a local host, a mechanical arm controller and a tactile feedback device which are connected in pairs; and the remote side equipment comprises a remote host, an unmanned vehicle, a mechanical arm and a touch collector which are connected in pairs. According to the invention, tactile feedback, especially force tactile feedback and vibration tactile feedback, in the interaction process of the remote robot in the remote side equipment and the external environment is provided for the local operator in the local side equipment, so that the immediacy of the local operator is improved, and the execution efficiency and precision of a remote interaction task are improved.

A remote machine manipulation system includes: a shooting unit that shoots an image of a remote machine that is remotely manipulated; and a visual presentation apparatus that receives the image shot by the shooting unit and presents an operator who manipulates the remote machine with the image by displaying the received image, the visual presentation apparatus including: a communication situation monitoring unit that detects a communication situation in the reception of the image; and a presented image control unit that determines a central field-of-view region and a peripheral field-of-view region in a display region in which the image is displayed and determines, on the basis of the communication situation detected by the communication situation monitoring unit, an image parameter related to a transmission rate of a central field-of-view image displayed in the central field-of-view region and a peripheral field-of-view image displayed in the peripheral field-of-view region.