Abstract: A method of programming a manipulator, the method including providing a movement path for execution by the manipulator, the movement path having a plurality of points including a start point and an end point and at least one movement segment between the plurality of points; moving the manipulator to a path modifying position; and modifying the movement path from the start point to the end point based on the path modifying position upon receiving a modification input from a user. A control system for programming a manipulator, and an industrial robot including the manipulator and a control system, are also provided.

Abstract: A robot is provided. The robot includes at least one sensor, a driver, memory storing one or more computer programs, and one or more processors operatively coupled with the at least one sensor, the driver, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors, cause the robot to detect the occurrence of an event through the at least one sensor, identify an interaction corresponding to the event, identify user context, identify an interaction parameter based on history information stored in the memory, the interaction, and the user context, control the driver to perform the interaction based on the identified interaction parameter, obtain information on a user's response according to the performed interaction, and update the history information based on information on the identified interaction parameter and the response.

Abstract: A teaching system includes a teaching point generator that generates a teaching point of a robot; an operator that is operated by a user; an image generator that generates a VR image in which a virtual robot corresponding to the robot is placed in a VR space; and a display that displays the VR image. The image generator generates the VR image in which the virtual robot moves in accordance with operation to the operator. The teaching point generator generates a teaching point corresponding to a position of the virtual robot in the VR space generated by the image generator.

Abstract: A method and apparatus for controlling a wheel-legged robot are provided. The method includes: controlling a first wheel leg to move from a first step onto a second step, controlling a second wheel leg and an auxiliary wheel leg to be stabilized on the first step; controlling the second wheel leg to move from the first step onto the second step, controlling the first wheel leg to be stabilized on the second step, and controlling the auxiliary wheel leg to be stabilized on the first step; and controlling the auxiliary wheel leg to move from the first step onto the second step, and controlling the first wheel leg and the second wheel leg to be stabilized on the second step.

Abstract: Provided are a method, system, and non-transitory computer-readable medium for real-time autonomous path planning for a robotic device. The method includes receiving data about the robotic device in a three-dimensional workspace, encapsulating objects in the environment of the robotic device including the robotic device, a target, and one or more obstacles in simulated robotic space, calculating a direction of movement for the robotic device according to three virtual forces including a virtual attractive force, a virtual repulsive force, and a virtual tangential force acting at least partially perpendicularly relative to the virtual repulsive force, mapping each virtual force in the three-dimensional workspace into torque vectors in the simulated robotic space at each joint, converting a sum of the torque vectors into one or more commands for the robotic device defining a path to reach the target, and sending the one or more commands to the robotic device.

Abstract: A vehicle trajectory may be evaluated based on a relative probability distribution associated with a vehicle and an object in the vehicle environment and/or based on velocities associated with the vehicle and/or the object. The relative probability distribution may be determined based on a vehicle trajectory and/or a predicted object trajectory. A collision probability and/or a collision severity may be determined based on the relative probability distribution and/or the velocities. The collision probability and/or severity may be used to determine whether the vehicle trajectory is safe and/or to inform the driving behavior of the vehicle.

Abstract: A working robot operating system and method are provided. The system includes a plurality of working robots each configured to perform a work process involving deterioration of a working part and a repair process of repairing the deterioration of the working part. The system also includes a control device configured to determine an existing performance schedule in which the repair process of each of the plurality of working robots is performed based on production information of a product and specification information of a working part for each working robot. The control device is also configured to determine an optimal performance schedule of the repair process for each of the plurality of working robots based on the determined existing performance schedule, and to control the plurality of working robots so that the repair process is performed by following the determined optimal performance schedule.

Abstract: An autonomous driving control system for a vehicle that travels on a road provided with a marker that emits a steady magnetic field or a quasi-steady magnetic field includes: a magnetic sensor array that is equipped on the vehicle and senses magnetism; and an information processing circuit that generates an image showing a magnetic field in a region closer to the marker than the magnetic sensor array, according to a sensing result of the magnetism and a fundamental equation of the steady magnetic field and the quasi-steady magnetic field, and controls travel of the vehicle according to the image.

Abstract: A method for handling operational for an autonomous vehicle driving from a first work area to a second work area via a predefined path is provided. The operations of the autonomous vehicle are constrained by the operational requirements. The method comprises detecting that the autonomous vehicle is initiating driving in the predefined path. The method further comprises when detected that the autonomous vehicle is initiating driving in the predefined path, triggering a relaxation of the operational requirements. The method further comprises, when the autonomous vehicle is driving in the predefined path, detecting whether the autonomous vehicle turns towards the first work area. When detecting that the autonomous vehicle turns towards the first work area, the method further comprises triggering a preventive action for preventing the autonomous vehicle from driving towards the first work area using the relaxed operational requirements.

Abstract: A robot includes: at least one sensor; a driver configured to move the robot; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: identify sub spaces of a traveling space of the robot, obtain navigability information corresponding to the respective sub spaces based on sensing data obtained by the at least one sensor while the robot is traveling, obtain time information on time required for passing through the respective sub spaces based on a traveling map, the traveling map being obtained based on the navigability information, identify a moving path of the robot based on the time information, and control the driver based on the moving path, wherein the navigability information includes at least one of region information associated with a sub space, information associated with at least one other robot, and information associated with a dynamic object.

Abstract: A robotic system for operating a machine includes an arm, an actuator coupled to the arm and configured to indicate a change in an interactive medium of the machine when the actuator physically interfaces with the interactive medium, a visual source configured to provide an image of the machine in a field of view; and a processor coupled to the arm and the visual source. Images obtained from the field of view can be used to extract information about the machine and that information can be used to operate the arm to actuate the interactive medium of machine and perform the physical task using the machine.

Abstract: Systems and methods are provided for improved generation and selection of robot sensor data for manual annotation and/or use in training machine learning models used to operate robots. An on-robot controller can operate to determine a cross-modal inconsistency, that a temporally proximate target task was failed, and/or that a confidence in a model output indicate that particular sensor data should be transmitted to a remote system for human annotation and/or use in updating the machine learning model(s) of the robot. Embedding vector(s) representing such selected sensor data (e.g., representing common aspects across a population of sets of sensor data) could also be determined and transmitted to the robot. The robot could then determine embeddings for sensor data and, if the embeddings are similar enough to the transmitted embedding(s), the sensor data could be transmitted to the remote system for annotation and/or model updating.

Abstract: A wearable device may include an article configured to be worn by a user and a sensor array coupled with the article. The sensor array may be configured to obtain force data, among other data. A system can receive information generated by the wearable device utilized to perform a task. The information may include motion data indicating a motion of the wearable device and the force data indicating a force applied to the wearable device. The force data may be obtained from the sensor array generating digital outputs. The system can control a robotic device to perform a robotic motion based on the motion data and apply a robotic force based on the force data to repeat the task. The robotic device may include a sensor array to determine a force applied to the robotic device for controlling the robotic force. Other aspects are also described and claimed.

Abstract: A terminal device includes a coordinate-system setting portion which sets a user coordinate system on the basis of a marker included in an image, photographed by a photographing portion, including an industrial robot and a work space of the industrial robot, a coordinate giving portion which gives a coordinate of the user coordinate system to point-group data obtained by a distance measuring portion which measures a distance to an object included in the image, a region specifying portion which specifies a robot region on the user coordinate system corresponding to the industrial robot on the basis of shape size information of the industrial robot corresponding to a type of the industrial robot and attitude information of the industrial robot, and a point-group creating portion for avoidance which creates point-group data for interference avoidance by removing the point-group data included in the robot region from the point-group data obtained by the distance measuring portion.

Abstract: This robot system comprises: a display control unit which controls an image to be displayed in a display region of a display unit; and a reference direction setting unit which sets a reference direction for determining the orientation of an image. On the basis of the axial positions of respective joint shafts of the robot and the reference direction, the display control unit controls the orientation of an image shown on the display unit so as to perform display that represents a prescribed postural relation with respect to the reference direction.

Abstract: In an approach to improve the management and execution of a task, embodiments receive, by a computing device, the task, divide the task into a plurality of steps, and assign the plurality of steps to an end user and a robotic system. Further, embodiments identify a sequence of predetermined or anticipated motions that will be performed by the robotic system to carry out the plurality of steps, and output a virtual display, by an augmented reality device associated with the end user, the identified predetermined or anticipated motions of the robotic system. Additionally, embodiments communicate guidance, based on the virtual display, to the augmented reality device associated with the end user to guide the end user, and dynamically adjust the guidance based on an identified performance of the end users or the robotic system.

Abstract: In accordance with an embodiment, the invention provides an end effector for use with a programmable motion device. The end effector includes a pair of mutually opposing surfaces, at least one of the pair of mutually opposing surfaces being movable with respect to an end effector support structure for supporting the at least one of the pair of mutually opposing surfaces.

Abstract: The disclosure relates to a method for controlling motion of an object towards a target pose. The method includes determining a current state of the object; randomizing multiple configurations of the object with regard to the current state of the object; predicting for each configuration of the multiple configurations of the object a constraint cost with regard to each constraint of one or more constraints; determining for each constraint of the one or more constraints, among the predicted constraints costs that have been predicted for the multiple configurations of the object, a predicted constraint cost that meets the constraint the worst; predicting a target configuration of the object using the multiple configurations of the object, the one or more determined constraint costs that have been determined for the one or more constraints, and the target pose; and controlling the object to change its current state towards the predicted target configuration.

Abstract: This robot comprises: a finger that grips a workpiece; a motor that drives the finger; a driving current detection unit that detects a driving current of the motor; a gripper including a tactile sensor provided in the finger; a driving force calculation unit that calculates a driving force applied to the workpiece by the finger on the basis of a driving current value of the motor; a pressing force calculation unit that calculates a pressing force that the tactile sensor receives from the workpiece on the basis of a detection value of the tactile sensor; and a control unit that determines which of the driving force and the pressing force is to be used on the basis of a gripping force setting value that is a setting value of the gripping force applied to the workpiece by the finger and controls the gripping force using the value of the driving force or the pressing force which is determined to be used.

Abstract: A controller is provided for manipulating objects by a robot arm having a gripper. The controller includes a large language model (LLM) planner configured to acquire the states and the task description and generate an action sequence command that operates the robot arm with the gripper based on the task description, the current observations, historical information including historical actions and historical observations from previous steps.