2781 results about "Workspace" patented technology

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.

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.

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 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.

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.

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 intelligent logistics, and discloses an intelligent logistics-oriented path planning method and system, and the method comprises the steps: determining a working area of a logistics vehicle, dividing the logistics vehicle into multiple paths according to traffic lights and guiding arrows, collecting the information of the paths and the vehicle through a detection unit, drawing an electronic map from an overlook angle, and carrying out the planning of the path. The processing unit calculates the vehicle density P of the obtained path; acquiring corresponding vehicle density according to corresponding parameter information, sequencing vehicle density data groups, planning a path by combining with an actual departure place and a destination, predicting a next time period by acquiring current vehicle speed and time period information, and performing combined analysis on three parameters including the vehicle density, an average vehicle speed and a vehicle speed fluctuation value to obtain a vehicle density prediction result. Therefore, the effect of improving the working efficiency is achieved.

The disclosure is directed to a fire suppression system that includes all control components in a single integrated panel. It further contemplates and may include a chamber configured to maintain an interior inert atmosphere and to enclose and establish a nonflammable workspace for a pyrophoric workpiece. A temperature sensor may also be included and mounted proximate the workspace, along with an oxygen concentration sensor configured to detect an interior oxygen concentration of the atmosphere. The system also includes a dispenser configured to discharge an antipyrophoric granular material onto the workpiece responsive to automatic detection proximate the workpiece of at least one of a predetermined temperature and oxygen concentration. In variations, the chamber is configured as a glove box having viewing windows and a plurality of sealed glove ports positioned to enable user manipulation of the workpiece about the workspace.

The invention discloses a medium-large unmanned aerial vehicle spraying system, and belongs to the technical field of intelligent manufacturing and unmanned aerial vehicle spraying technologies. The medium and large unmanned aerial vehicle spraying system comprises a sky rail type suspension structure, a sky rail deformation monitoring device and a robot pose optimization module. The sky rail type suspension structure does not occupy the ground space and can achieve three-dimensional full-coverage movement of the spraying robot in a working area, the sky rail deformation monitoring device can accurately monitor the deformation amount of the sky rail type suspension structure, and the robot pose optimization module can adjust the pose of the spraying robot. And therefore, spraying errors caused by deformation of the sky rail type suspension structure and abnormal placement poses of the unmanned aerial vehicle are reduced. According to the spraying system for the medium-large unmanned aerial vehicle, efficient and accurate automatic spraying of the medium-large unmanned aerial vehicle can be achieved on the premise that the occupied ground space is reduced.

The invention discloses an automatic suction removal method, device and equipment for welding smoke and a medium, and relates to the technical field of machine learning. Linear interpolation and capacity expansion are conducted on a temperature matrix of a welding area; inputting the interpolated and expanded temperature matrix into a decision tree model, outputting predicted position information of the smoke source, and calculating spatial position coordinates; converting the point cloud data of the welding area into a grey-scale map, fusing the grey-scale map and the interpolated and expanded temperature matrix data to obtain a temperature space distribution matrix, inputting the temperature space distribution matrix into a first convolutional neural network, and outputting obstacle avoidance point cloud data; calculating parameters of the obstacle avoidance area, inputting the parameters, the spatial position coordinates and the initial joint rotation angle of the actuator into a second convolutional neural network, and outputting a target joint rotation angle; therefore, the welding smoke in the welding area can be automatically sucked by the actuator, the sucking efficiency is improved, the smoke concentration in the welding working area is reduced, the conflict condition of the smoke sucking disc working area is avoided, and the interference to the welding work and the sucking leakage rate are reduced.

Disclosed are a force guidance telerobotic system and control method based on a dual-arm collaborative potential field. A real-time pose of a tool center point of each of the two robotic arms is obtained using a robotic arm kinematic model, and checking is performed to determine whether a shortest distance dp-s,i between a target object and a workspace boundary of each of the two robotic arms is lower than a threshold Ds; a dual-arm symmetric collaboration strategy will be adopted when higher than the threshold; a single-arm primary collaboration strategy will be adopted when lower than the threshold; and a coordination factor δi of each of the robotic arms is determined according to the collaboration strategy; the dual-arm collaborative potential field is constructed according to the collaboration factor, a distance between the target object and the tool center point and a position of obstacle.

Collision detection useful in motion planning for robotics advantageously represents planned motions of each of a plurality of robots as obstacles when performing motion planning for any given robot in the plurality of robots that operate in a shared workspace, including taking into account the planned motions during collision assessment. Edges of a motion planning graph are assigned cost values, based at least in part on the collision assessment. Obstacles may be pruned as corresponding motions are completed. Motion planning requests may be queued, and some robots skipped, for example in response to an error or blocked condition.

Systems and methods for hierarchical workspace orchestration are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: determine, by a local management agent configured to instantiate a primary workspace, that an operation involving a subordinate workspace instantiated by a peripheral device coupled to the IHS comprises sensitive data; and determine whether to process the sensitive data prior to execution of the operation.

To provide a development support system allowing users to freely create nodes and edges on a workspace, the development support system allowing selection of a large-scale language model for every prompt node, and enabling prompt provision (transmission) and acquisition of output results on a per-node basis.SOLUTION: A development support system 1 includes a workspace creation unit and a large-scale language model input / output unit, where a prompt node created on the workspace includes a large-scale language model selection field, a prompt reception field, and an output result display field for displaying an output to a prompt. Each prompt node also enables provision of prompts to the large-scale language model and acquisition of results, and the prompt node displays the output results.SELECTED DRAWING: Figure 1

An electric preparation appliance includes at least:a housing with a supporting portion arranged to rest on a workspace and defining a base plane,a lid, which can be moved between a closed position in which access to the workspace is prevented and an open position in which access to the workspace is permitted,means of locking the lid, which can be moved between an unlocked position in which the lid can be freely moved, and a locked position in which the lid is locked in the closed position,a control interface, which can be moved between a first control position and a second control position,characterized in that the control interface comprises a handle that rotates around a handle axis contained in a plane parallel to the base plane.

The invention discloses a drag-and-drop type visual chart component system. The system comprises a data source and format conversion module, a real-time data binding module and a drag-and-drop type interaction module, the dragging type interaction module is used for dragging the selected chart component into a working area; the data source and format conversion module is used for performing format conversion on different collected data, and the real-time data binding module binds the data with a chart component in a working area; and the bound chart component interacts with a user through a user interface. In the invention, the system provides a visual drag-and-drop interaction function, so that the user can easily construct and customize the chart without programming skills. And the user can directly drag the required chart component into the working area, so that the chart creation process is simplified. Depending on the real-time data binding module, the system can automatically refresh the chart component when the data source is updated, so that the user can always obtain the latest data display.

Provided herein are techniques that facilitate interactions with and / or control of devices provided for collaborative workspaces using body area network communications. In one example, a method is provided that may include, upon a touch of a user with a collaboration device, performing, for a user device that provides a body area network for the user, a pairing exchange facilitated via the body area network for pairing the user device and the collaboration device. During the touch of the user with the collaboration device, the method may include transmitting a user token to the collaboration device via the body area network. The method may further include transmitting a pairing communication to a collaboration service in which the communication includes the user token and a pairing token for the device and, upon successful authentication of the user by the collaboration service, pairing the user device with the collaboration device.

The present disclosure relates generally to robotic systems, and more specifically to systems and methods for specifying a robot task configuration by means of annotating a visual workspace representation in coordination with a waypoint optimization process. This system enables a much broader use of robotic automation by saving time and reducing technical complexity. This system can be used to configure any visually enabled robotic task, such as tasks in warehouse management, manufacturing, delivery, inspection, logistics, etc.

An information handling system node includes a hardware processor, a memory device, a power management unit with a peripheral device node operatively coupled to the information handling system node. The hardware processor may execute computer-readable program code of a custom event and device manageability service sub-agent to discover the peripheral device node operatively coupled to the information handling system node including a unique peripheral device identification (ID), request and receive, via a unified device application programming interface module, peripheral device capabilities and event IDs, where the event IDs describe custom events that are transmittable via any bus protocol from the peripheral device node, and register for custom event notifications with the peripheral device node by sending callback messages to the peripheral device node describing which custom events to receive custom event notifications about and setting custom event triggers that trigger the custom event notifications.