Abstract: A device and a method that prevent a tracking target tracked by a mobile device from deviating from a field of view at a fork, thereby enabling reliable tracking, are provided. When a control parameter determination unit of a mobile device cannot discriminate one of a plurality of routes constituting a fork that a tracking target selects and moves along, the control parameter determination unit calculates a goal position for bringing the tracking target within a viewing angle of the mobile device and a goal posture at the goal position, and generates a control parameter including the calculated goal position and goal posture. The control parameter determination unit calculates a position and posture that enable the tracking target to be within the viewing angle of the mobile device regardless of a route that the tracking target selects and moves along.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that distributes skill bundles that can guide robot execution. One of the methods includes receiving data for a skill bundle from a skill developer. The data can include a definition of one or more preconditions for a robotic system to execute a skill; one or more effects to an operating environment after the robotic system has executed the skill; and a software module implementing the skill. The software module can define a state machine of subtasks. A skill bundle can be generated from the data received from the skill developer. Data identifying the generated skill bundle can be added to a skill registry. The skill bundle can be provided to the execution robot system for installation on the robot execution system.

Abstract: A robot control system includes circuitry configured to: generate a command to a robot; receive a frame image in which a capture position changes according to a motion of the robot based on the command; extract a partial region from the frame image according to the command; superimpose a delay mark on the partial region to generate an operation image; and display the operation image on a display device, so as to represent a delay of the motion of the robot with respect to the command.

Abstract: According to the present invention, a moving body capable of moving within a preset range of movement acquires an image from the environment surrounding the location of the moving body, and determines entry determination conditions for obtaining a result of an entry determination as to whether or not the moving body is allowed to enter a region identified by the location of the moving body and the image. A management terminal outputs the entry determination conditions and the image to an output device, and receives modification information relating to the entry determination conditions from an input device. A server uses the modification information received by the input device of the management terminal to perform learning, including updating of the entry determination conditions, thereby setting the movement range of the moving body, the movement of which is controlled in accordance with the entry determination result.

Abstract: A computer-implemented method for controlling a robot, the method comprising: determining a first value for a first joint parameter associated with a first continuum joint included in the robot and a first value for a second joint parameter associated with the first continuum joint, wherein the first joint parameter indicates a bending radius of a flexible portion of the continuum joint, and the second joint parameter indicates a rotation of the flexible portion of the continuum joint with respect to a base portion of the first continuum joint; and positioning an end portion of the robot at a final target location based on the first value of the first joint parameter and the first value of the second joint parameter.

Abstract: Implementations are provided for increasing realism of robot simulation by injecting noise into various aspects of the robot simulation. In various implementations, a three-dimensional (3D) environment may be simulated and may include a simulated robot controlled by an external robot controller. Joint command(s) issued by the robot controller and/or simulated sensor data passed to the robot controller may be intercepted. Noise may be injected into the joint command(s) to generate noisy commands. Additionally or alternatively, noise may be injected into the simulated sensor data to generate noisy sensor data. Joint(s) of the simulated robot may be operated in the simulated 3D environment based on the one or more noisy commands. Additionally or alternatively, the noisy sensor data may be provided to the robot controller to cause the robot controller to generate joint commands to control the simulated robot in the simulated 3D environment.

Abstract: A method of footstep contact detection includes receiving joint dynamics data for a swing phase of a swing leg of the robot, receiving odometry data indicative of a pose of the robot, determining whether an impact on the swing leg is indicative of a touchdown of the swing leg based on the joint dynamics data and an amount of completion of the swing phase, and determining when the impact on the swing leg is not indicative of the touchdown of the swing leg, a cause of the impact based on the joint dynamics data and the odometry data.

Abstract: A technique allows verification of a robot operation without any cost for an additional robot or for a person entering a monitoring area. A robot control system includes a monitored robot for which a monitoring area is defined and a robot controller that controls the monitored robot in a plurality of modes including a first mode to change an operation of the monitored robot in response to an object detected in the monitoring area being a robot.

Abstract: The present invention relates to methods for learning a robot task and robots systems using the same. A robot system may include a robot configured to perform a task, and detect force information related to the task, a haptic controller configured to be manipulatable for teaching the robot, the haptic controller configured to output a haptic feedback based on the force information while teaching of the task to the robot is performed, a sensor configured to sense first information related to a task environment of the robot and second information related to a driving state of the robot, while the teaching is performed by the haptic controller for outputting the haptic feedback, and a computer configured to learn a motion of the robot related to the task, by using the first information and the second information, such that the robot autonomously performs the task.

Abstract: A teaching support device configured to perform teaching to a robot which has a robot arm a tip of which is attached with a polishing tool, and which controls the robot arm with force control to perform a polishing task on an object includes a teaching point acquisition section configured to obtain information related to a plurality of teaching points set to the object, a polishing parameter acquisition section configured to obtain information related to a polishing parameter of the polishing task at the plurality of teaching points obtained by the teaching point acquisition section, and a display control section configured to display the teaching point out of the plurality of teaching points with a color based on the polishing parameter obtained by the polishing parameter acquisition section so as to overlap the object.

Abstract: A gripping apparatus includes a tray, a detector, a robot, and a controller. The tray has a placement surface on which multiple workpieces of plate shape are to be placed. The placement surface is provided with multiple recesses. The detector is configured to detect arrangement of the workpieces placed on the tray. The robot is attached with a hand. The controller is configured to move and insert the workpieces into the recesses by vibrating the tray, specify the workpieces in a standing state with the detector, and instruct the robot to grip one of the workpieces in the standing state with the hand in a predetermined direction.

Abstract: This disclosure describes systems, methods, and devices related to robotic drive control device. A robotic device may receive an indication associated with pressing an actuator on a handheld device, wherein the handheld device controls a movement of an end effector of the robotic device. The robotic device may record a home location associated with where the actuator was pressed in space. The robotic device may determine an orientation of the handheld device. The robotic device may detect a movement of the handheld device from the home location to a second location in space. The robotic device may cause the end effector of the robot to move in the same orientation as the handheld device from a stationary position that is associated with the home location while continuing to move the end effector even when the handheld device stops moving at the second location.

Abstract: Systems, methods, and other embodiments described herein relate to detecting obstacles from unknown objects during automated driving by a vehicle. In one embodiment, a method includes generating, from an image that includes an unknown object, a depth map from a depth estimation component and processed data from a semantic segmentation component in parallel by using a neural network model. The method also includes detecting that the unknown object is an obstacle when the unknown object satisfies criteria using an optical model according to the depth map and a segmentation map. The method also includes determining a height of the obstacle and a distance to the obstacle according to the optical model and the criteria. The method also includes adapting a vehicle plan of the automated driving according to the height.

Abstract: A method for correcting a robot is provided. The method includes: providing a correction device, wherein the correction device comprises a jig wafer; grabbing and/or transferring the jig wafer by using the robot to obtain collected data; determining, based on the collected data, whether the robot needs to be corrected; and in response to that the robot needs to be corrected, obtaining a compensation value according to the collected data, and correcting the robot based on the compensation value.

Abstract: A method for controlling a robot is provided. The method includes the steps of: determining a target robot to travel to a first loading station among a plurality of robots, on the basis of information on a location of the first loading station and a task situation of each of the plurality of robots, when a first transport target object is placed at the first loading station; and determining a travel route of the target robot with reference to information on the location of the first loading station and a location of a first unloading station associated with the first transport target object.

Abstract: Disclosed are a vehicular electronic device and an operation method thereof. The device includes a processor configured to acquire data of a situation of a vehicle, to determine whether the vehicle is a platooning vehicle based on the data, and to determine any one of vehicles in the group as a representative vehicle that transmits a basic safety message (BSM) as a representative of the group upon determining that the vehicle is the platooning vehicle. Data generated by the vehicular electronic device is transmitted to an external device using a 5G communication method. According to the present disclosure, an electronic device of an autonomous vehicle is associated or fuses with a device related to an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service, or the like.

Abstract: An opening and closing body control device for a vehicle includes: a control unit configured to control an opening and closing body drive device driving an opening and closing body of a vehicle to open and close the opening and closing body based on an operation request; and a detection unit configured to detect an obstacle present around the opening and closing body based on a detection result of an obstacle sensor. The control unit sets an operation speed of the opening and closing body to a first speed when the obstacle is not detected during an operation of the opening and closing body, and sets the operation speed to a second speed or less and causes the opening and closing body to stop at a position where the opening and closing body is close to the obstacle, when the obstacle is detected during the operation.

Abstract: A hand device is attached to a robot arm, grips a workpiece extending helically around a helical axis, and includes a base attached to the robot arm and a gripping part that is supported by the base in a rotatable manner around a predetermined rotation axis and that grips the workpiece. The gripping part grips the workpiece on the predetermined rotation axis such that the helical axis of the workpiece substantially extends along the predetermined rotation axis, and rotates in a helical direction of the workpiece in accordance with an external force acting on the workpiece in a tangential direction around the predetermined rotation axis.

Abstract: The present invention relates to a robot and a control method therefor and, more particularly, to a robot and a control method therefor, the robot detecting peripheral obstacles and structures by using an image in front of same, thereby providing an efficient and safe moving path. A robot control method according to one embodiment of the present invention comprises the steps of: capturing an image; acquiring a first image of which the bottom surface is separated in the image; recognizing obstacles included in the image by using a learned first artificial intelligence model; allowing a robot to acquire and store a second image in order to perform a task on the basis of the information about the first image and the region including the recognized obstacles; and allowing the robot to move on the basis of the second image.

Abstract: A control device that controls an ultraviolet emission device such that the inside of a vehicle is sterilized is provided. The control device includes a vehicle state acquiring unit configured to acquire a state of the vehicle, a determination unit configured to determine whether a person is present inside of the vehicle based on the state of the vehicle, and a control unit configured to control the ultraviolet emission device with reference to a result of determination of whether a person is present inside of the vehicle.