4189 results about "Workspace" patented technology

One example method includes automatically scanning, at a privacy data collector, received data to determine if the received data is related to an Artificial Intelligence (AI) / Machine Learning (ML) workspace that is used to build an ML model. For the received data that is determined to be related to the AI / ML workspace, parsing the data, by the privacy data collector, to determine if the data includes any Personal Identifiable Information (PII) or other sensitive information. For the data that includes PII data or other sensitive data, generating, by a ML classification model, a privacy classification for the data. For the classified data, performing, by a data masking component, a data masking operation on the PII data or other sensitive data to generate masked data.

The invention provides a construction site collision risk assessment method based on a digital twinborn scene, and relates to the technical field of building simulation and collision detection. According to the method, after collision risk evaluation factors are screened out by constructing a construction site digital twinborn scene, correlation analysis is carried out by using a weighted Heraonian average operator, and a determined weight is obtained; constructing a membership function of each collision risk evaluation factor, performing fuzzy reasoning, establishing a construction site collision risk evaluation mechanism, and outputting an evaluation result; dynamically generating and updating the working space of the digital twinborn scene according to the evaluation result, reconstructing the digital twinborn scene, and executing voxelization collision detection to obtain an accurate collision detection result; and according to an accurate collision detection result, in combination with the generated dynamic working space, calculating a collision time-space amount to obtain a final risk value. The method is high in collision detection speed and accurate, is applied to a dynamic complex environment of a construction site, and can achieve objective and accurate evaluation of space-time collision risks.

In one aspect, the present invention relates to a distributed system for controlling at least one robot (R) in a gripping task for gripping objects (O) of different types which are arranged in a working area (CB, B, T) of the robot (R). The system comprises a central training computer (CTR), which is designed for pre- and post-training, and at least one local processing unit (LCU), on which real image data of the object (O) is recorded, which is used to generate post-training data.

Disclosed are systems and methods that ingest substantial volumes of data from a variety of sources associated with a computing system network to create integrated, intuitive, efficient, and coherent adaptive workspace display interfaces. The ingestion includes event data generated by event source software applications running on end user computing devices as well as call and end user attribute data that is used to determine state, presence, and performance data for the end user computing devices that is formatted for display on the adaptive workspace interfaces and used during performance monitoring and collaboration between system end users. The adaptive workspace interfaces provide functions that facilitate real time collaboration between end users that enhances shared experiences between system end users and customers.

A method for operating a robot, including: capturing images of a workspace; capturing data indicative of movement of the robot; capturing LIDAR data as the robot moves within the workspace; generating a map of the workspace based on the LIDAR data; actuating the robot to drive; discriminating between an object on a floor surface along a path of the robot and the floor surface based on the captured images; actuating the robot to drive until determining all areas of the workspace are discovered and included in the map; and executing a cleaning function.

The invention belongs to the technical field of collaborative robots, and particularly discloses and provides an anti-explosion mechanical arm positive pressure control system and method.The system comprises a mechanical arm motion tracking module, an environment data monitoring module, a configuration adjustment analysis module, a pressure adjustment analysis module, a database and a pressure adjustment execution terminal. The mechanical arm motion tracking module is designed to track the motion state of the mechanical arm and record motion data, a key part pressure sensor is started to monitor pressure data, and the correlation change of motion and pressure can be captured. The environment data monitoring module monitors environment parameters of a working area in real time, and environment changes are comprehensively mastered. The all-dimensional monitoring capability of the system is improved, factors influencing positive pressure control can be obtained more comprehensively, meanwhile, configuration adjustment judgment is carried out in combination with environment, movement and pressure data, adjustment values are dynamically determined, and intelligent decision making and self-adaptive adjustment of mechanical arm positive pressure control are achieved.

A dual-arm cooperative potential field-based force-guided teleoperation system and control method. By means of real-time poses of tool center points of two robotic arms, whether the shortest distances dp-s,i between a target object and workspace boundaries of the two arms are lower than a threshold Ds is iteratively determined; if the shortest distances are both greater than the threshold, a dual-arm symmetric cooperation strategy is adopted, and if the shortest distances are lower than the threshold, a single-arm prioritized cooperation strategy is adopted, and the arm is used as a priority arm; cooperation factors δi of the two arms are respectively determined on the basis of the cooperation strategies; a dual-arm cooperative potential field is constructed on the basis of the cooperation factors, the distances between the target object and the tool center points of the two arms, and the position of an obstacle; and corresponding dynamic virtual constraint forces are generated on the basis of the dual-arm cooperative potential field, and two force feedback hand controllers are used to guide and assist an operator in controlling the two robotic arms to complete a dual-arm cooperative task.

A method for operating a robot, including: capturing images of a workspace; capturing data indicative of movement of the robot; capturing LIDAR data as the robot moves within the workspace; generating a map of the workspace based on the LIDAR data; actuating the robot to drive; discriminating between an object on a floor surface along a path of the robot and the floor surface based on the captured images; actuating the robot to drive until determining all areas of the workspace are discovered and included in the map; and executing a cleaning function.

The invention discloses a mechanical arm autonomous grabbing system based on a visual language model and a control method of the mechanical arm autonomous grabbing system. The method comprises the steps that firstly, a mechanical arm is initialized, and a color image and a depth image of a working interval are collected; secondly, based on the color image and the natural language description, generating a target object bounding box and confidence, and judging whether a target object exists in the scene or not; and when the target object does not exist, instance segmentation and capture feasibility detection are carried out on the visible object in the current scene. And then the depth image and the object binary mask passing through grabbing feasibility detection are sent to an interaction object selection strategy and an action selection strategy to obtain an object to be interacted and a pushing action direction. And finally, center coordinates of the to-be-interacted object and center coordinates of the mechanical arm are obtained, the obstacle is moved in the pushing action direction until the target object appears and can be grabbed, and the mechanical arm grabs the target object and places the target object at a designated position. According to the method, the object specified by the human natural language can be accurately recognized and grabbed.

The invention relates to the technical field of mechanical arm obstacle avoidance path planning, in particular to a multi-degree-of-freedom mechanical arm obstacle avoidance path planning method based on three-dimensional reconstruction, which comprises the following steps: step 1, three-dimensional environment perception and dynamic modeling; preferentially offsetting and expanding the near-obstacle nodes towards the concave area or the hole center to generate a candidate node set; and 4, three-dimensional grid collision verification and safe path correction are conducted, specifically, the working space of the mechanical arm is divided into three-dimensional voxel grids, and collision detection is achieved by judging whether path nodes fall into obstacle object elements or not. According to the method, the laser radar and the depth camera are adopted to synchronously collect data through hardware triggering, statistical filtering denoising and three-dimensional grid modeling are combined, geometrical characteristics of static obstacles and motion parameters of dynamic obstacles are restored, and the collision risk caused by environmental perception errors of the mechanical arm is effectively avoided.

Provided in the present invention is a method for constructing a safe operation domain of a grid-connected converter. The method comprises: firstly, setting an analysis range and analysis precision; determining the maximum quiescent current transmission limit of a grid-connected converter system; after obtaining a region in which a quiescent current injected into a power grid by a converter satisfies the constraint of an expression, determining whether an operating point is within a domain of definition, determining the stability of the system at the current operating point, and determining whether the operating point exceeds an analysis upper limit; and finally, determining an interval consisting of all the operating points with stable small signals, that is, a safe operating domain. The present invention takes the maximum transmission limit and dynamic characteristics of the system into comprehensive consideration, and proposes the use of a safe operation domain to describe the stability of a full operating interval of a converter. By using a safe operating domain, the transmission limit and dynamic characteristics of a converter can be comprehensively reflected, and the stability of a grid-connected converter in the full operating interval can be visually evaluated, thereby avoiding the limitation of traditional methods only being able to display the system stability at specific operating points.

A method for minimizing deviations between a target and an actual pose of an autonomous charging device manipulator, adapted to connect a charging connector to an electric vehicle socket, comprising: obtaining a compensation function covering at least a part of a workspace of the manipulator, the compensation function utilizing a relationship between at least one motion command and a corresponding actual pose, and operating the manipulator based on the obtained compensation function such that the resulting actual pose minimally deviates from the target pose, wherein the relationship between at least one motion command and a corresponding actual pose is obtained by a method comprising an image acquisition device attached to a moving part of the manipulator to acquire an image containing a visible fiducial marker placed at a referential pose; instructing the manipulator to move to acquire an image of the fiducial marker; using the image to determine the relative pose of the fiducial marker with respect to the image acquisition device; computing the actual pose of the moving part of the manipulator using the referential pose and the determined relative pose of the fiducial marker with respect to the image acquisition device; and fitting a template function that relates the at least one motion command to the computed actual pose.

Methods and systems for team cooperation with real-time recording of one or more moment-associating elements. For example, a method includes: delivering, in response to an instruction, an invitation to each member of one or more members associated with a workspace; granting, in response to acceptance of the invitation by one or more subscribers of the one or more members, subscription permission to the one or more subscribers; receiving the one or more moment-associating elements; transforming the one or more moment-associating elements into one or more pieces of moment-associating information; and transmitting at least one piece of the one or more pieces of moment-associating information to the one or more subscribers.

There is provided a method for analysing medical image data (34) in a virtual multi-user collaboration, wherein the medical image data (34) is analysed by at least two users (A, N, C, S), each user having his / her own workspace (30), wherein the workspace is a VR- and / or AR- and / or MR-workspace, the method including the steps of providing medical image data (34) including 3D or 4D image information, loading the medical image data (34) into the workspace (30) of each user so as to simultaneously display a visualization of the medical image data (34) to each user, allowing each user to individually and independently from each other change the visualization of the medical image data (34), so as to obtain an individual visualization of the medical image data (34) in each workspace (30) pertaining to each user, allowing at least one user to execute an analysing process of the medical image data (34) in his / her workspace, displaying the result of the analysing process in the workspace (30) in which the analysing process was carried out, and synchronizing the result of the analysing process in real-time with the at least one other workspace (30) such that each workspace (30) displays the result of the analysing process in the respective individual visualization of the medical image data (34). Further, there is provided a computer program relating to the above method. In addition, a user interface and a system used during execution of the above method are provided.

The invention provides a full-coverage cleaning modular control method and system for a photovoltaic cleaning robot. According to the method, a photovoltaic panel three-dimensional terrain model is constructed by collecting laser ranging, photovoltaic panel surface temperature distribution, environment airflow and position relation data; and generating an obstacle distribution map based on the model, and dynamically analyzing gap width and attachment height parameters of the cleaning area. Therefore, the bending angle and the telescopic amplitude of a connecting part of the cleaning module are adjusted in real time, and robot pose information is synchronously updated. And in combination with the position data, the obstacle map and the pose of the whole robot, an uncleaned area identifier and a dynamic coverage path are generated, and information is shared through a wireless network. The system dynamically distributes working areas and advancing directions of the multiple robots, and efficient cooperative full-coverage cleaning of the photovoltaic array is achieved. According to the technical scheme provided by the invention, through multi-source environment perception and dynamic pose adjustment, intelligent path cooperation and full-coverage operation of multiple cleaning robots are realized.

Technology is described for determining a task plan that is usable by a robotic device in a workspace. The method can include converting instructions received for the robotic device into temporal logic (TL) statements and to a non-deterministic Buchi Automaton. A task probabilistic machine learning model can be generated with feasible task plans using the non-deterministic Buchi Automaton. A plurality of task plans can also be created or generated using the task probabilistic machine learning model. A sensor probabilistic machine learning model of the workspace can be constructed using information from sensors of the robotic device. The task plans from the task probabilistic machine learning model can be compared with the sensor probabilistic machine learning model to select the task plan with a high probability of correlation to the workspace.

A method includes: receiving a prompt from an operator to initialize a current instance of a first instructional block, in a digital procedure, at a workspace assigned to the operator within a facility; in response to detecting a risk event proximal the workspace, accessing a procedure authoring model associated with a first equipment unit proximal the workspace; correlating the risk event with an action language signal corresponding to an action prompt related to the first equipment unit; correlating the risk event with a risk language signal corresponding to a first process risk associated with execution of the first action prompt with the first equipment unit; based on the action language signal, the risk language signal, and the procedure authoring model, generating a sequence of steps predicted to resolve the risk event; and initializing a second instructional block containing the sequence of steps predicted to resolve the risk event.

The invention belongs to the field of industrial robot error calibration, and particularly relates to a vision-based industrial mechanical arm zero deviation calibration method, which comprises the following steps of: 1) fixing a vision camera at the tail end of a mechanical arm, and fixing a marker in a working area range of the mechanical arm; (2) the mechanical arm is manually operated, the spatial position of a camera fixed to the tail end of the mechanical arm is changed, all corresponding pose data are recorded, the mechanical arm is moved multiple times, and multiple sets of calibration data are collected; (3) the pose change of the marker when the spatial position of the camera fixed to the tail end of the mechanical arm is changed is obtained, and a calibration equation based on zero deviation and hand-eye pose deviation is constructed; and (4) multiple sets of collected calibration data are substituted into the calibration equation, and after optimization is conducted, the zero deviation of the mechanical arm and a hand-eye pose transformation matrix are obtained and compensated to configuration of a mechanical arm controller. According to the method, the zero deviation calibration of the mechanical arm and the calibration of the hand-eye pose transformation between the mechanical arm and the visual equipment can be completed at the same time only through one calibration process.

The structures and algorithms described herein employ look ahead motion planning, in which motion planning for a least two goals is performed before a robot executes the resulting motion plans, and the ability to transition between the preceding one of the motion plans to a subsequent (e.g. following) one of the motions plans is assessed. Thus, the system can determine whether a robot will get trapped (e.g., blocked by another robot) at the end of a first motion plan, preventing, limiting or delaying execution of a second motion plan. Detection of such a condition can cause one or more remedial actions can be taken, for example generating a new, revised or replacement first motion plan. Other remedial action can moving another robot, performing motion planning for the other robot, to alleviate a blocking condition and / or determining a new order for the goals.

The invention relates to the technical field of fin cleaning, in particular to a robot energy-saving system and method for intelligent control over the cold end of an indirect cooling auxiliary unit, and the system comprises the steps that a fin array surface temperature abnormal area and a stain coverage area are extracted, and a self-adaptive grid is divided according to the stain density; defining a local cleaning strategy and a global cleaning strategy based on the adaptive grid; generating a spiral traversal path based on an adaptive grid and a global cleaning strategy, and optimizing the shortest advancing path of the robot; and the robot moves in the working space according to the shortest advancing path, the local cleaning strategy is executed in sequence, and intelligent energy-saving cleaning of the fins of the indirect cooling auxiliary unit is achieved.

The invention discloses an intelligent monitoring and early warning method for gas concentration of an ultra-thin coal seam, and belongs to the technical field of gas monitoring. The method comprises the following steps: transmitting gas data to a ground platform in real time by using a 5G technology through monitoring devices and worker portable equipment which are arranged in each underground area; constructing an underground three-dimensional model by combining infrared remote sensing and a visualization technology, dividing a working area and generating a gas concentration stereogram; a width learning neural network optimized by an SCSO algorithm is adopted to predict concentration change, and a dynamic early warning system is established in combination with weighted optimization analysis of regional ventilation capacity; and finally, a regional standard exceeding alarm is sent to a monitoring device and personnel equipment through 5G communication, so that accurate positioning early warning is realized. According to the method, multi-dimensional data modeling and an intelligent algorithm are fused, and the real-time performance and accuracy of gas monitoring of the ultra-thin coal seam are improved.

The embodiment of the invention provides a control method of autonomous operation equipment, the autonomous operation equipment and a readable storage medium, and relates to the technical field of autonomous operation equipment. The control method of the autonomous operation equipment comprises the following steps: when the autonomous operation equipment walks along the edge, acquiring an image in front of the autonomous operation equipment, and determining a working area and a non-working area contained in the image; at least one longitudinal segmentation line is used for segmenting the image to obtain at least two detection areas, an interested area in the at least two detection areas is obtained, and the longitudinal segmentation line is parallel to the length direction of a vehicle body of the autonomous operation equipment; and controlling the walking direction of the autonomous operation equipment based on the area proportion of the partial working area contained in the region of interest in the region of interest and the boundary fitting slope of the partial working area, so that the autonomous operation equipment walks along the boundary of the working area. According to the invention, the walking direction of the vehicle body can be adjusted more accurately, so that the autonomous operation equipment keeps walking along the edge.

A desktop workspace that adjusts vertically includes a work surface platform, a base configured to sit on an existing platform, such as a desk, a height adjustable mechanism including at least one set of arms that connect at a pivot point(s) creating a scissoring motion to raise and lower the said work surface platform to various heights. A locking and unlocking mechanism may connect to the height adjustable mechanism. In some cases, the apparatus includes an adjustable mechanism to support items such as a keyboard. In some cases, the apparatus includes elements to raise items such as a monitor to an additional height.

The invention belongs to the field of intelligent equipment, and relates to a mechanical arm control method and system based on image point cloud cross-modal fusion and action block Transformer, and the method comprises the steps: constructing a scene point cloud according to a multi-view RGB image and a corresponding depth map; a virtual view of multi-view fusion image-point cloud information is generated around the working space of the mechanical arm through the scene point cloud; inputting the virtual view of the multi-view fusion image-point cloud information into a feature extraction network to obtain a feature map; obtaining each joint state and a historical action sequence in the mechanical arm, and projecting the joint states; inputting the feature map, the projected joint state and the historical action sequence into an encoder to obtain encoding features; the coding features are input into a decoder, and a mechanical arm action sequence is predicted based on an action partitioning strategy; the mechanical arm is controlled according to the mechanical arm action sequence; according to the method, the multi-modal sensing data of the point cloud image are integrated into uniform feature representation, and intelligent action planning of the mechanical arm is realized in combination with the action block Transform, so that the global understanding and decision-making capability of the robot on complex tasks is improved.

Various embodiments of the present disclosure provide universal machine learning tracking and control techniques for enforcing universal standards across a plurality of disparate machine learning projects within an enterprise. The techniques include generating a canonical representation of a machine learning model. The techniques include receiving model activity data from a third party computing resource in response to user activity within a third party workspace. The techniques include generating relative progress data for the machine learning model based on the model activity data and modifying the canonical representation of the machine learning model based on the model activity data and the relative progress data. The techniques include generating and providing a model interface point for the machine learning model in response to the canonical representation satisfying a publication threshold.

Described herein are approaches directed to building and / or managing page layout templates associated with pages having particular page types. Some implementations relate to approaches for hierarchical page layout templates. In some implementations, a graphical page layout template editor can be provided. In some implementations, a large language model can be used to generate page layout templates. Page layout templates can include one or more modules that can define the presence and organization of blocks within a page comprising one or more blocks. Some implementations provide for a news feed that can summarize changes to pages within a workspace, teamspace, database, or other context.

The invention relates to the technical field of data processing, and discloses a method and a system for dynamically generating declaration receipts based on custom configuration, the method comprises the following steps: constructing a component library, the component library comprises multiple types of data item components, and each data item component is packaged into an independent module; based on the graphical configuration process, adding the components in the component library to a working area, and setting field attributes; setting a dependency relationship between fields based on conditional logic, defining a legality rule of the fields based on a data verification rule, and automatically storing a historical version in a configuration process based on version control; and based on preset authority and distribution setting, determining a filling person range and a filling time limit of the declaration receipt, and notifying a filling person. According to the invention, the form creation efficiency is improved, the maintenance cost is reduced, and the expandability and applicability of the system are enhanced.

A method of programming an industrial robot (100), with a robot manipulator (110) and robot controller (120), comprises: recording movements of the robot manipulator during a demonstration-based robot programming session, for thereby obtaining a robot trajectory; acquiring a video of the robot programming session; and generating, on the basis of the robot trajectory and the video, a robot program (C) executable by the robot controller, wherein the robot program includes at least one motion command which is expressed in a first reference frame (0 1). The method further comprises capturing operator input data indicating a first object (151) in an image in the video. The generated robot program includes a command to identify a position of an object resembling the first object in a work area (150) of a robot which executes the robot program; and the first reference frame is defined with respect to the identified position of the object resembling the first object.

The invention relates to the technical field of vehicles, and discloses an intelligent vehicle-mounted equipment test bench thermal management method and system, electronic equipment, a storage medium and a terminal.The method comprises the steps that a to-be-tested device is responded, a to-be-cooled area of the to-be-tested device is identified, and temperature data of the to-be-cooled area is obtained in real time; the temperature data is responded and compared with a preset temperature threshold value, whether the cooling process needs to be started or not is determined, parameters of the cooling process are dynamically adjusted in response to the temperature change trend of the to-be-cooled area, and the parameters comprise the flow of cooling liquid, the temperature and the power of refrigeration equipment; in response to ambient temperature and humidity data, a dew point temperature is calculated, and the parameters during the cooling process are adjusted based on the dew point temperature. During development and testing, the heat dissipation performance of the vehicle-mounted equipment test bench can be improved, and the environment condition of a working area is improved.

A desktop workspace that adjusts vertically includes a work surface platform, a base configured to sit on an existing platform, such as a desk, a height adjustable mechanism including at least one set of arms that connect at a pivot point(s) creating a scissoring motion to raise and lower the said work surface platform to various heights. A locking and unlocking mechanism may connect to the height adjustable mechanism. In some cases, the apparatus includes an adjustable mechanism to support items such as a keyboard. In some cases, the apparatus includes elements to raise items such as a monitor to an additional height.