Abstract: A center device includes a distribution control unit that is configured to control distribution of data to a vehicle, a normal operation determination unit that is configured to determine whether operation of distributed data on a vehicle is normal, and a distribution target expansion unit that is configured to expand a distribution target for the data when the normal operation determination unit determines that operation of the distributed data on the vehicle is normal after the data was distributed to the vehicle.

Abstract: There is provided an information processing device that includes an operation controller that controls a moving operation of an autonomous mobile body that travels while maintaining an inverted state, and controls a posture operation of the autonomous mobile body that temporally changes from a reference posture in the inverted state. Furthermore, the information processing device further includes an acquisition unit that acquires motion data corresponding to a posture operation of the autonomous mobile body. The operation controller controls a posture operation of the autonomous mobile body based on the motion data acquired by the acquisition unit.

Abstract: Disclosed is a three-dimensional object printing method using a head and a robot that changes relative position and relative orientation of a workpiece and the head. The method includes a first data processing step of acquiring first initial route data that represents, in a workpiece coordinate system, a route along which the head is to move; a second data processing step of acquiring first head reference point data that represents, in a robot coordinate system, position and orientation of the head; a third data processing step of generating, based on the first initial route data and the first head reference point data, first print route data that represents, in the robot coordinate system, the route along which the head is to move; and a first printing step of ejecting the liquid from the head onto the workpiece while the robot is operated based on the first print route data.

Abstract: The present disclosure relates to a kinematics calibration method for a robot with multiple degrees of freedom. The robot includes a base, an end effector, and a plurality of links connected by joints. The method includes locking part of the multiple degrees of freedom by limiting the base and the end effector impose a limitation of degree of freedom; moving the robot to perform a first movement and accordingly obtaining a first set of data associated with joint angles and a first actual motion of the end effector; calculating a first theoretical motion of the end effector based on the first set of data and initial kinematics parameters; and updating the initial kinematics parameters of the robot to obtain a first set of updated kinematics parameters based on the first theoretical motion and the first actual motion.

Abstract: A system for context based alert filtering using ranked risk from vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive a location of a translating object. The processor is configured to trigger a warning to the translating object based at least in part on its location and the existence of an associated hazard, wherein a secondary condition distinct from the hazard is used to determine relevance of the hazard.

Abstract: In some embodiments, the present disclosure provides systems and methods enabling unmanned vehicle navigation and delivery including an integrated roofing accessory integrated into a roof, the integrated roofing accessory including at least one antenna and a computing module in communication with the at least one antenna, where the computing module, when software is executed, is configured to transmit, via the at least one antenna: electronic operating instructions to at least one unmanned vehicle, and network messages related to the at least one unmanned vehicle to at least one additional integrated roofing accessory. A landing member is on the roof and the electronic operating instructions comprise: at least one landing instruction configured to cause the at least one unmanned vehicle to land on the landing member, and at least one take-off instruction configured to cause the at least one unmanned vehicle to take off from the landing member.

Abstract: Various embodiments of the technology described herein generally relate to systems and methods for trajectory optimization with machine learning techniques. More specifically, certain embodiments relate to using neural networks to quickly predict optimized robotic arm trajectories in a variety of scenarios. Systems and methods described herein use deep neural networks to quickly predict optimized robotic arm trajectories according to certain constraints. Optimization, in accordance with some embodiments of the present technology, may include optimizing trajectory geometry and dynamics while satisfying a number of constraints, including staying collision-free, and minimizing the time it takes to complete the task.

Abstract: A robot includes a driver; a camera; and a processor configured to: during an interaction session in which a first user identified in an image obtained through the camera is set as an interaction subject, perform an operation corresponding to a user command received from the first user, and determine whether interruption by a second user identified in an image obtained through the camera occurs, and based on determining that the interruption by the second user occurred, control the driver such that the robot performs a feedback motion for the interruption.

Abstract: A robotic manipulation planning system, including at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to: process perception data to detect known, familiar, and unknown objects to generate manipulation candidates; filter manipulation candidates against constraints to reduce the manipulation candidates; and determine quality metrics for the reduced manipulation candidates using a soft-body simulation technique.

Abstract: A method is provided for supporting a robot in response to a contingency event. The method includes detecting the contingency event during travel of the robot on a route to a destination. In response, the method includes determining a position of the robot, and accessing information about alternate destinations associated with the route. The method includes selecting an alternate destination from the alternate destinations based on a time to travel from the position of the robot to the alternate destination, and the information. And the method includes outputting an indication of the alternate destination for use in at least one of guidance, navigation or control of the robot to the alternate destination.

Abstract: The invention relates to a method for recognizing a potential collision of a vehicle with a living creature, wherein at least one operating state is monitored of a functional unit in a parking garage in which the vehicle is located, wherein when such a characteristic operating state of the functional unit is recognized by a monitoring device that characterizes a direct, potential appearance of a living creature in the parking garage, a notice is transmitted to the vehicle, and/or an operating mode of the vehicle is changed. The invention also relates to a parking garage management system.

Abstract: A device and method for controlling a hardware agent in a control situation having a plurality of hardware agents. The method includes ascertaining of a potential function by a first neural network; ascertaining of a control scenario for a control situation from a plurality of possible control scenarios by a second neural network; ascertaining a common action sequence for the plurality of hardware agents by seeking an optimum of the ascertained potential function over the possible common action sequences of the ascertained control scenario; and controlling at least one of the plurality of hardware agents in accordance with the ascertained common action sequence.

Abstract: Apparatuses, systems, and techniques to grasp objects with a robot. In at least one embodiment, a neural network is trained to determine a grasp pose of an object within a cluttered scene using a point cloud generated by a depth camera.

Abstract: Various surgical systems are disclosed. A surgical system comprises a robotic tool, a robot control system, a surgical instrument, and a surgical hub. The robot control system comprises a control console and a control unit in signal communication with the control console and the robotic tool. The surgical hub comprises a display. The surgical hub is in signal communication with the robot control system. The surgical hub is configured to detect the surgical instrument and represent the surgical instrument on the display.

Abstract: A method of controlling a movement of a robot based on determination of a risk level includes: a risk level determining operation of determining a risk level related to a motion of the robot; and a robot control operation of controlling the movement of the robot based on the risk level, wherein the robot transfers an object. The determination of the risk level related to the motion of the robot includes: an internal risk level determining operation of determining an internal risk level based on an attribute of the object; and an external risk level determining operation of determining an external risk level related to an environmental state around the robot.

Abstract: An alignment apparatus includes a rotational support configured to rotate around a central axis, a rotation actuator, an edge sensor, and control circuitry. The rotational support includes substrate supports configured to concurrently support a substrate, and ring supports configured to concurrently support a focus ring. The rotation actuator is configured to rotate the rotational support around the central axis. The edge sensor is configured to generate an edge signal that changes in accordance with each of an edge position of the substrate and an edge position of the focus ring. The control circuitry is configured to control the rotation actuator to adjust a posture of the substrate to a first target posture based on the edge signal, and to control the rotation actuator to adjust a posture of the focus ring to a second target posture based on the edge signal.

Abstract: Systems and methods of servicing engines including a method of servicing an engine, the method including navigating at least a portion of a robotic assembly to a location associated with the engine; applying, from the robotic assembly, a medium to one or more adjustable components of the engine while the engine is at an elevated temperature; waiting a duration of time; and with the robotic assembly, operating on the one or more adjustable components.

Abstract: The invention relates to a method for controlling a robotic device (50) with modified control commands transmitted over a wireless network, wherein the robotic device (50) comprises a plurality of joints (53), wherein each joint represents one degree of freedom of the robotic device, the method comprising at a trajectory modification entity (100): —determining a load of the wireless network (30), —receiving a plurality of control commands controlling a planned trajectory of the robotic device (50) from a robotic control entity (70), each of the control commands configured to control one degree of freedom of a first number of degrees of freedom addressed by the plurality of control commands, —determining a reduced number of degrees of freedom for the modified control commands smaller than the first number based on the determined load, —determining the modified control commands based on the reduced number of degrees of freedom, wherein the modified control commands address a limited number of degrees of freedom

Abstract: Provided is a process, including: obtaining, with a computer system, a set of tasks to be performed by a fleet of robots; obtaining, with the computer system, for each task in the set of tasks, a respective plurality of duty cycles, each corresponding to an amount of usage of a respective actuator of a robot among the fleet of robots upon performing the respective task; accessing, with the computer system, for each robot in the fleet of robots, a current wear-state vector having dimensions corresponding to cumulative wear on actuators of the respective robots; and based on the current wear-state vectors and the duty cycles of the tasks, with the computer system, assigning the tasks to the robots in the fleet of robots.

Abstract: A system including an autonomous ground vehicle (“AGV”) designed as a common platform to which is affixed one or more articulated arms, which, when combined with attached implements and software for performing movement of the AGV and the arm(s), carries out tasks common to small farms and maintaining small parcels of land. The software enables a farm operator to set up, control, and monitor operations of the robotic system.