Abstract: A device for maintaining the trajectory of a vehicle, which moves along a trajectory and has at least one contact point with the ground, includes an attachments system to the vehicle, and a sphere configured to rotate on the ground during the movement of the vehicle.

Abstract: A program generation apparatus according to one or more embodiments may extract, from a series of motions defined in a motion program, a motion to be corrected based on a difference in attribute between a first component indicated as a target of a component change and a second component to replace the first component, and generate a new motion program by correcting a command value of the extracted motion to compensate for the difference in the attribute.

Abstract: This drive assistance device comprises an ACC unit, an abnormality detection unit for detecting an abnormality from a detector used to perform ACC, and a vehicle stop control unit for performing control to stop an ego vehicle when an abnormality is detected by the abnormality detection unit and an inter-vehicle distance to a preceding vehicle satisfies a certain condition.

Abstract: The present disclosure provides methods and systems for predicting a trip intent or destination while a user is traveling along a route. The method may comprise: (a) receiving a starting geographic location of the route and data about an identity of the user; (b) retrieving a trained classifier based at least in part on the data about the identity of the user; (c) using the trained classifier to predict the trip intent or destination based on the starting geographic location; and (d) while the user is traveling in a terrestrial vehicle along at least a portion of said route, presenting one or more transactional options to the user on an electronic device, wherein the one or more transactional options are identified based on the trip intent or destination predicted in (c).

Abstract: A robot for object manipulation may include sensors, a robot appendage, actuators configured to drive joints of the robot appendage, a planner, and a controller. Object path planning may include determining poses. Object trajectory optimization may include assigning a set of timestamps to the poses, optimizing a cost function which may be a cost function for finger sliding based on a penalty for a sliding distance, a change in desired normal direction, and a wrench error associated with sliding a robot finger, and generating an object trajectory based on the optimized cost function. Grasp sequence planning may be model-based or deep reinforcement learning (DRL) policy based. The controller may execute the object trajectory and the grasp sequence via the robot appendage and actuators.

Abstract: A device control apparatus includes at least one processor executing a program stored in at least one memory.

Abstract: A robotic system and method includes at least one robot actively or passively mobile between at least first and second locations, and a first safety configuration being defined at least for said first location. A first data carrier associated to the first safety configuration is located in said first location, and the robot comprises a reader adapted to read the first data carrier when the robot is in said first location.

Abstract: A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.

Abstract: A robotic cell calibration method comprising a robotic cell system having elements comprising: one or more cameras, one or more sensors, components, and a robotic arm. The method comprises localizing positions of the one or more cameras and components relative to a position of the robotic arm using a common coordinate frame, moving the robotic arm in a movement pattern, and using the cameras and sensors to determine robotic arm position at multiple times during the movement. The method includes identifying a discrepancy in robotic arm position between a predicted position and the determined position in real time, and computing, by an auto-calibrator, a compensation for the identified discrepancy, the auto-calibrator solving for the elements in the robotic cell system as a system. The method includes modifying actions of the robotic arm in real time during the movement based on the compensation.

Abstract: One embodiment can provide a robotic system. The system can include a machine-vision module, a robotic arm comprising an end-effector, and a robotic controller configured to control movements of the robotic arm to move a component held by the end-effector from an initial pose to a target pose. While controlling the movements of the robotic arm, the robotic controller can be configured to move the component in a plurality of steps. Displacement of the component in each step is less than or equal to a predetermined maximum displacement value.

Abstract: A robot system is provided and includes a robot body that performs predetermined work together with a user, and a control device that controls the robot body. The control device selects, in accordance with special information of the user, an action to be performed by the robot body during the predetermined work.

Abstract: A method of generating a control program for a robot includes generating a trajectory in which a robot arm moves between a plurality of teaching points based on a first constraint condition with respect to a movement time of the robot arm and a second constraint condition with respect to a drive condition for driving the robot arm by a processor, displaying the trajectory generated by the processor and accumulated power consumption when the robot arm moves along the trajectory by a display unit, and, when receiving an instruction to employ the trajectory, generating a control program for the robot based on the trajectory by the processor.

Abstract: A transmission controller includes a processor configured to set acceleration/deceleration start timing at which a vehicle starts accelerating or decelerating, based on at least one of a sensor signal representing the situation around the vehicle, the current position of the vehicle, a map including information on a road being traveled by the vehicle, and operation of the vehicle by a driver, downshift a second transmission of a power train including two motors and an engine before the acceleration/deceleration start timing, and control the power train to vary first and second gear ratios of a first transmission so as to keep the RPM of the engine constant. The first transmission is capable of steplessly varying the first and second gear ratios, which are gear ratios between one of the motors and the engine and between the other motor and the engine, respectively.

Abstract: The disclosure discloses a method for building a local point cloud map and a visual robot. According to the method for building the local point cloud map, point clouds which reflect a position of a large-range region around a robot are sampled according to a preset salient pose change condition; point clouds at different height positions are described in the form of a 3d histogram.

Abstract: A method for automatically setting the collision sensitivity of a collaborative robot, according to one embodiment of the present invention, comprises the steps of: operating a collaborative robot; acquiring torque-related data associated with torque that acts on each joint of the collaborative robot while the collaborative robot operates; and calculating a collision threshold value on the basis of the acquired torque-related data.

Abstract: A robotic device control system is described. The robotic device control system includes: a radio base station for wireless communication with a robotic device; a beamforming controller coupled or integral to the radio base station for controlling beamforming between the radio base station and the robotic device; and a robotic device controller coupled to the beamforming controller, wherein the robotic device controller is configured to control the robotic device via the radio base station; wherein the robotic device control system is configured to provide an instruction, derived by the robotic device control system based on radio beam propagation information of the wireless communication between the radio base station and the robotic device, to the beamforming controller for controlling beamforming between the radio base station and the robotic device.

Abstract: A control device for a conveyance robot including a telescopic portion which is extensible in a height direction is provided. The control device includes an estimation unit configured to estimate a natural frequency of the conveyance robot according to an amount of extension of the telescopic portion and a control unit configured to control a drive mechanism of the conveyance robot such that the natural frequency of the conveyance robot and an angular frequency of a vibration generating portion when the conveyance robot operates do not match.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a speed of windshield wipers of a vehicle, adjust a setting for an adaptive cruise control of the vehicle based on the speed of the windshield wipers, and instruct a propulsion of the vehicle to operate in accordance with the adjusted setting of the adaptive cruise control.

Abstract: A tool driver for use in robotic surgery includes a base configured to couple to a distal end of a robotic arm, and a tool carriage slidingly engaged with the base and configured to receive a surgical tool. In one variation, the tool carriage may include a plurality of linear axis drives configured to actuate one or more articulated movements of the surgical tool. In another variation, the tool carriage may include a plurality of rotary axis drives configured to actuate one or more articulated movements of the surgical tool. Various sensors, such as a capacitive load cell for measuring axial load, a position sensor for measuring linear position of the guide based on the rotational positions of gears in a gear transmission, and/or a capacitive torque sensor based on differential capacitance, may be included in the tool driver.

Abstract: In one aspect, the present disclosure is directed at a computer implemented method for determining a drivable area in front of a host vehicle. According to the method, a region of interest is monitored in front of the host vehicle by at least two sensors of a detection system of the host vehicle. The region of interest is divided into a plurality of areas via a computer system of the host vehicle, and each area of the plurality of areas is classified as drivable area, non-drivable area or unknown area via the computer system based on fused data received by the at least two sensors.