Abstract: Provided is art capable of recognizing the states of a plurality of target objects arranged in a prescribed space region. This target object recognition device is provided with: a plurality of calculation processing units (21, 22) which each calculate the attitude state of a target object in a prescribed space region using a different technique; a state recognition unit (23) which recognizes the layout state of all of a plurality of target objects arranged in the space region; a method determination unit (24) which, in accordance with the result of the recognition by the state recognition unit (23), determines a method for using the results of the calculation performed by the calculation processing units (21, 22); and a target object recognition unit (25) which recognizes the attitude states of the target objects by means of the determined method for using the results of the calculation.

Abstract: A mobile robot may include a traveling unit configured to move a main body; a memory configured to store trajectory information of a moving path corresponding to the movement of the main body; a communication unit configured to communicate with another mobile robot that emits a signal; and a controller configured to recognize the location of the another mobile robot based on the signal, and control the another mobile robot to follow a moving path corresponding to the stored trajectory information based on the recognized location. In addition, the controller may control the moving of the another mobile robot to remove at least part of the stored trajectory information, and allow the another mobile robot to follow a moving path corresponding to the remaining trajectory information in response to whether the moving path corresponding to next trajectory information to be followed by the another mobile robot satisfies a specified condition.

Abstract: The invention discloses high-precision mobile robot management and scheduling system, and relates to the technical field of industrial robots, comprising industrial robot, AGV, secondary positioning device and upper computer, wherein the secondary positioning devices are arranged on corresponding workstations of processing machine tool, when the processing machine tool performs processing tasks, the upper computer selects the AGV arranged with industrial robot and navigates the same to the secondary positioning device, and after the secondary positioning device and the chassis of the industrial robot are locked, the industrial robot can assist the processing machine tool in parts machining. The system in the invention perfectly combines the mobile robot and fixed robot, thereby achieving not only flexibility of mobile robot, but also the high precision of the fixed robot.

Abstract: A method and system to monitor and autonomously configure an intravascular assembly without medical staff involvement or presence. In this solution, a robotic device is associated with an intravascular assembly, which has tubing through which fluids are delivered intravenously. Monitoring of the tubing is initiated. In response to the monitoring, an errant flow through the tubing is detected; typically, the errant flow results from one of: a kink or twist in the tubing, an air bubble in the tubing, an occlusion or clot in the tubing, and pressure variations. In response to detecting the errant flow, and in advance of an audible alarm being generated in association with the intravascular assembly, a command is then issued to the associated robotic device. The command is configured to initiate, by the robotic device, physical engagement with and mechanical manipulation of the tubing, thereby remediating the errant flow automatically.

Abstract: A system forms a part in an initial geometry (e.g., a sheet) into a desired geometry. The system includes a robot arm with an end effector, a model and a controller. The model receives an input geometry and an input parameter value indicating an interaction between the part and the end effector. The model determines an output geometry of the part based on the input geometry and the input parameter value. The controller receives the initial and desired geometries; applies the model to the initial geometry and to different input parameter values; based on output geometries of the model, determines a set of parameter values for controlling the robot arm; and controls the robot arm according to the determined set of parameter values to form the part into the desired geometry using the end effector.

Abstract: An augmented reality (AR) system for visualizing and modifying robot operational zones. The system includes an AR device such as a headset in communication with a robot controller. The AR device includes software for the AR display and modification of the operational zones. The AR device is registered with the robot coordinate frame via detection of a visual marker. The AR device displays operational zones overlaid on real world images of the robot and existing fixtures, where the display is updated as the user moves around the robot work cell. Control points on the virtual operational zones are displayed and allow the user to reshape the operational zones. The robot can be operated during the AR session, running the robot's programmed motion and evaluating the operational zones. Zone violations are highlighted in the AR display. When zone definition is complete, the finalized operational zones are uploaded to the robot controller.

Abstract: Embodiments of present disclosure relates to an apparatus and a method for calibrating a laser displacement sensor for use with a robot. The apparatus comprises an auxiliary object arranged in a work space of the robot or held by the robot and comprising a planar surface adapted to be detected by the laser displacement sensor; and a controller configured to: determine a characteristic point on the planar surface of the auxiliary object based on a detection result from the laser displacement sensor; cause the laser displacement sensor to point at the characteristic point for plural times with the same angle and different distances to obtain an orientation of the laser displacement sensor; and cause the laser displacement sensor to point at the characteristic point for plural times with different angles and the same distance to obtain a relative position relationship between the laser displacement sensor and the robot.

Abstract: A measurement parameter for use when measuring an object with a measuring device provided on a robot may be adjusted and optimized significantly more easily than in conventional technology. A measurement parameter optimization method or operations performed by a processor may include: acquiring N captured images of objects with first measurement parameters; estimating recognized object counts Zi for the objects based on acquiring N/j captured images of the objects with second measurement parameters, and storing the recognized object counts Zi as first data; based on acquiring N/j/k captured images of the objects with third measurement parameters, estimating recognized object counts Zi for the objects based on the first data and storing the recognized object counts Zi as second data; and determining an optimized measurement parameter that satisfies a predetermined judgment criterion from among the second data.

Abstract: In a robot utilization system using a plurality of transport robots, the transport robot includes a traveling mechanism having a traveling function, a main body supported by the traveling mechanism and configured to receive products, and a specifying unit configured to specify the products received by the main body. The transport robots include a transport robot that performs a purchase process of the products received by the main body, and a transport robot that performs a return process of the products received by the main body.

Abstract: Described herein are systems and methods that improve the success rate of relocalization and eliminate the ambiguity of false relocalization by exploiting motions of the sensor system. In one or more embodiments, during a relocalization process, a snapshot is taken using one or more visual sensors and a single-shot relocalization in a visual map is implemented to establish candidate hypotheses. In one or more embodiments, the sensors move in the environment, with a movement trajectory tracked, to capture visual representations of the environment in one or more new poses. As the visual sensors move, the relocalization system tracks various estimated localization hypotheses and removes false ones until one winning hypothesis. Once the process is finished, the relocalization system outputs a localization result with respect to the visual map.

Abstract: A method for automatically processing a structure-reinforcing member of an aircraft, including: (S1) acquiring, by a handheld laser scanner, data of an area to be reinforced of the aircraft; (S2) controlling a robotic arm to automatically grab the reinforcing member for automatic scanning; (S3) setting a cutting path in a computer aided design (CAD) digital model followed by registration with real data to obtain an actual cutting path, and cutting the reinforcing member; (S4) controlling the robotic arm to guide a cut reinforcing member to a scanning area for automatic scanning; and (S5) subjecting point cloud data of the cut reinforcing member and the area to be reinforced to virtual assembly and calculating a machining allowance to determine whether an accuracy requirement is met; if yes, ending a task; otherwise, grinding the reinforcing member automatically, and repeating steps (S4)-(S5).

Abstract: A system that uses 3D scanning, a process agnostic pointing device used in conjunction with user input, and geometric analysis of the 3D information to create a robot program.

Abstract: A driving device includes a corrector, an actuator, and a position sensor. The actuator includes a nut connected to a movable part, a ball screw shaft onto which the nut is screwed, and a pulse motor that drives to rotate the ball screw shaft. The corrector includes a correction amount map in which a position correction amount for calibrating a predictable error is mapped for each position of the movable part. The corrector estimates an ideal movement position to which the movable part moves based on a command signal and refers to the correction amount map to calculate the position correction amount corresponding to a present position detected by the position sensor. The corrector generates a correction signal by correcting the command signal so as to reduce the difference between a corrected present position obtained by correcting the present position by the position correction amount and the ideal movement position.

Abstract: A method for controlling a robot device. The method includes performing an initial training of an actor neural network by imitation learning of demonstrations, controlling the robot device by the initially trained actor neural network to generate multiple trajectories, wherein each trajectory comprises a sequence of actions selected by the initially actor neural network in a sequence of states, and observing the return for each of the selected actions, performing an initial training of a critic neural network by supervised learning, wherein the critic neural network is trained to determine the observed returns of the actions selected by the initially actor neural network, training the actor neural network and the critic neural network by reinforcement learning starting from the initially trained actor neural network and the initially trained critic neural network and controlling the robot device by the trained actor neural network and trained critic neural network.

Abstract: An origin calibration method of a manipulator is provided. The origin calibration method includes steps of: (a) controlling the manipulator to move in accordance with a movement command, and acquiring the 3D coordinates of the reference anchor points reached by the manipulator; (b) controlling the manipulator to move in accordance with the movement command while an origin of the manipulator being offset, acquiring the 3D coordinates of the actual anchor points reached by the manipulator, and acquiring a Jacobian matrix accordingly; (c) acquiring a deviation of a rotation angle of the manipulator according to the Jacobian matrix, the 3D coordinates of the reference anchor points and the actual anchor points, and acquiring a compensation angle value according to the deviation; and (d) updating the rotation angle of the manipulator according to the compensation angle value so as to update the origin of the manipulator.

Abstract: Device and method for operating a robot. As a function of a first state of the robot and/or its surroundings and as a function of an output of a first model, a first part of a manipulated variable for activating the robot for a transition from the first state into a second state of the robot is determined. A second part of the manipulated variable is determined as a function of the first state and regardless of the first model. A quality measure is determined as a function of the first state and of the output of the first model using a second model. A parameter of the first model is determined as a function of the quality measure. A parameter of the second model is determined as a function of the quality measure and a setpoint value. The setpoint value is determined as a function of a reward.

Abstract: A method for controlling a robot is described. The method includes acquiring sensor data representing an environment of the robot, identifying one or more objects in the environment of the robot from the sensor data, associating the robot and each of the one or more objects with a respective agent of a multiagent system, determining, for each agent of the multiagent system, a quality measure which includes a reward term for a movement action at a position and a coupling term which depends on the probabilities of the other agents occupying the same position as the agent at a time, determining a movement policy of the robot that selects movement actions with a higher value of the quality measure determined for the robot with higher probability than movement actions with a lower value of the quality measure, and controlling the robot according to the movement policy.

Abstract: In one embodiment, a method includes by a robotic system: sending, by an automatic tuning controller, driving commands to actuators of the robotic system, performing, for each of the actuators, one or more measurements of an actual pose of the respective actuator in response to the driving commands, generating, for each of the actuators, one or more configuration parameters for the respective actuator based on the one or more measurements, and storing the configuration parameters for the actuators in a data store of the robotic system.

Abstract: A vehicle computing unit and method for collision avoidance. The method includes calculating a dynamic trajectory of a vehicle, wherein the dynamic trajectory of the vehicle indicates a projected movement path of the vehicle; determining whether at least one risk location is within the dynamic trajectory of the vehicle; operating the vehicle based on a driving decision selected from among a first driving decision and a second driving decision when at least one risk location is within the dynamic trajectory of the vehicle, wherein the first driving decision is determined based on inputs by an operator of the vehicle, wherein the second driving decision is determined by a vehicle computing unit of the vehicle; and operating the vehicle based on the inputs by the operator of the vehicle when no risk location is within the dynamic trajectory of the vehicle.

Abstract: An arm of a robot is configured to which an arm cover for covering a wire or a pipe placed outside of the arm is attachable. An input reception unit receives first input indicating attachment of the arm cover to the arm. A movable range determination unit determines a movable range of the robot to be a second movable range smaller than a first movable range without the attachment of the arm cover according to the first input. A robot control unit controls an operation of the robot according to the second movable range.