Abstract: A system and method of this disclosure control an on/off state of a power take-off by monitoring the power demand of a fluid power circuit that includes the power take-off and a piece of equipment connected to the power take-off. The power demand may be indicated by a pressure or temperature of a fluid power circuit, by a motion of the equipment or its hand-held controller, or by an engine torque of an engine driving the power take-off. When the equipment transitions between an off state and an on state, the controller automatically engages the power take-off. When the equipment is in the on-state for a predetermined amount of time and the power demand is at or below a predetermined threshold during the predetermined amount of time—thereby indicating idle time or an inactive state of the equipment—the controller automatically disengages the power take-off.

Abstract: Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.

Abstract: Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

Abstract: A vehicle control module includes a vehicle device and a vehicle network interface. The vehicle device is operable to perform a vehicle function. The vehicle network interface facilitates communication regarding the vehicle function between the vehicle device and a vehicle network fabric in accordance with a global vehicle network communication protocol.

Abstract: An automotive electronic lateral dynamics control system of an autonomous motor vehicle, comprising a lateral driving path planner designed to plan a lateral driving path of the autonomous motor vehicle and defined by a reference curvature of the autonomous motor vehicle; an automotive electronic driving stability control system designed to control an automotive braking system to apply to the autonomous motor vehicle a yaw torque to hinder a driving instability condition of the autonomous motor vehicle; and an automotive electronic steering control system designed to control an automotive steering system to apply to the autonomous motor vehicle a steering angle or torque to cause the autonomous motor vehicle to follow the lateral driving path planned by the lateral driving path planner.

Abstract: A robot includes a handling portion handled in teaching an operation of a robot arm, a first sensor acquiring data of a first force acting on a tip of the robot arm, a second sensor acquiring data of a second force acting on the handling portion and a third sensor acquiring data of position and orientation of the tip of the robot arm. A controller of the robot is configured to generate teaching data having a first period and a second period based on analytical results of the first and second force data at a time of teaching the robot arm. The robot arm is controlled by position and orientation control based on the position and orientation data of the third sensor in the first period. The robot arm is controlled by force control based on the first and second force data in the second period.

Abstract: A computer-implemented method for planning an optimized motion path. The optimized motion path is determined applying a sampling-based motion-planning algorithm depending on a sample node set including sample nodes. The sample nodes in the sample node set are deterministically selected from a configuration node set including all obstacle free nodes. The sample nodes are selected to optimize a given dispersion criterion. The dispersion criterion selects the sample nodes so that the largest uncovered area/space within the configuration node set is as small as possible.

Abstract: A navigation system for aiding a human navigating, the navigation system includes a belt having a belt length and opposite belt ends, and includes an elongated compartment; a belt coupling arranged to the belt for coupling the belt ends; a compass sensor arranged to the belt and for sensing the compass direction based on the earth's magnetic field; a tactile unit arranged for tactile communicating a direction to the human; additional tactile actuators arranged to the belt and for communicating a direction to the human. The additional tactile actuators are distributed over the length of the belt. An elongated mesh is provided for arranging the elongated mesh inside the elongated compartment, the additional tactile actuators being arranged to the mesh. A processing unit is configured for controlling the navigation system.

Abstract: An autonomous lawn mower (100) comprises a mower body (102) having at least one motor (210) arranged to drive a cutting blade (212b) and to propel the mower body (102) on an operating surface via a wheel arrangement. The mower body (102) includes a navigation system (204) arranged to assist a controller (202) to control the operation of the mower body (102) within the predefined operating area (208). The navigation system includes an odometry module (106, 220), a rotatable optical surveying module (222), a sonic obstacle detection module (224), a heat absorbing unit set on the outer surface of the mower body (102) for directing the heat generated within the mower body towards the atmosphere, and a detachable docking module (816) arranged to receive the mower body (102).

Abstract: A driving mechanism that relatively displaces first and second links includes a motor, a reduction gear, and a torque sensor including a hollow portion, wherein the reduction gear includes an input shaft that is rotated by drive of the motor, the torque sensor is arranged between the reduction gear and the first link, and the input shaft penetrates through the hollow portion of the torque sensor.

Abstract: A method of using an intelligent, multi-function robot having and using internal Artificial Intelligence and functioning autonomously when not connected to external Artificial Intelligence, comprising the steps of: during a pre-initialization process or an initialization process prior to autonomous operation of the robot downloading from a server when the robot is online the functionality and data required for the robot to perform a particular task; during autonomous operation of the robot, the robot not using said external server or said external Artificial Intelligence; running software natively on the robot itself and the hardware processing the software is on the robot itself, and wherein data stored on the robot consists only of that necessary for performing preconfigured functions; limiting on board hardware processing power consists only of that necessary for performing the preconfigured functions; and adapting said robot for autonomous movement within a defined premises.

Abstract: A robot system includes a robot including rotary joints to be rotated and driven about axes by a motor, and a control device that controls the motor based on external force torque about the axes that acts on each of the respective rotary joints, a force point to apply external force is preset to the robot, and the control device calculates distances from the axes of the rotary joints to the force point based on angles of the rotary joints of the robot, and adjusts and increases an operation amount to the motor as the calculated distances decrease.

Abstract: A driving system is operatable at least in a first automated driving mode with automated longitudinal and/or lateral control, and in a different second automated driving mode with automated longitudinal and/or lateral control. The driving system has a steering wheel display with luminous elements for illuminating the steering wheel, which can be operated in different illumination states that are distinguishable by the driver. The luminous elements may illuminate the steering wheel rim, and are typically integrated into the steering wheel rim. The driving system specifies which illumination state of the different illumination states the steering wheel display has. The driving system specifies that, during operation of the driving system in the first driving mode, the steering wheel display is illuminated in a first illumination state.

Abstract: An automated robotic depalletizing system includes at least one robot for transferring inventory that arrives on a pallet to different storage locations within a warehouse. The robot may perform the automated depalletizing by moving to the pallet having a stacked arrangement of a plurality of objects, identifying, via a sensor, a topmost object of the plurality of objects, aligning a retriever with the topmost object, engaging the topmost object with the retriever, and transferring the topmost object from the pallet to the robot by actuating the retriever. The automated depalletizing may also be performed via coordinated operations of two or more robots. For instance, a first robot may retrieve objects from the pallet, and a second set of one or more robots may be used to transfer the retrieved objects into storage.

Abstract: Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

Abstract: There is provided a control device that controls a robot based on a work sequence in which a plurality of commands including a first command and a second command are arrayed, the control device including a display control section configured to display the work sequence on a display section, and a storing section configured to store display position relation information including first display position relation information indicating a relative first display position relation between a display position of the first command in the work sequence displayed on the display section and a display position of the second command in the work sequence displayed on the display section.

Abstract: To provide a robot control system and a robot control method capable of placing a component grasped by a robot hand at an accurate location on another member. A robot control system is provided with: a robot hand configured to grasp a clip; a camera configured to capture an image of the clip grasped by the robot hand, a calculation unit configured to calculate a position of the clip or an inclination of a component based on an imaging result of the clip captured by the camera, and a robot control unit configured to control the robot hand to adjust, based on the position of the clip or the inclination of the component calculated by the calculation unit, a position or an inclination of the robot hand and move the clip to a stringer.

Abstract: A plurality of sensors are configured to provide a corresponding output that reflects a sensed value associated with engagement of a robotic arm end effector with an item. The respective outputs of one or more sensors comprising the plurality of sensors are used to determine one or more inputs to a multi-modal model configured to provide, based at least in part on the one or more inputs, an output associated with slippage of the item within or from a grasp of the robotic arm end effector. A determination associated with slippage of the item within or from the grasp of the robotic arm end effector is made based at least in part on an output of the multi-modal model. A responsive action is taken based at least in part on the determination associated with slippage of the item within or from the grasp of the robotic arm end effector.

Abstract: A method includes, while detecting a continuous motion input in a first region of a touchscreen of a portable device in communication with a vehicle, detecting a steering input from a second region of the touchscreen, and actuating a steering component of the vehicle based on the steering input.

Abstract: Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to simulate illumination of the scene under a second lighting condition different from the first lighting condition based on the set of point cloud data, modify the set of point cloud data based on the simulated illumination of the scene under the second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.