Abstract: A steering system includes an electric motor, a detector, and a controller of a vehicle. The controller is configured to control the electric motor by switching an autonomous steering mode, a manual steering mode, and a cooperative steering mode. The controller is configured to control the electric motor in the cooperative steering mode unconditionally or when a predetermined condition is satisfied in a case where a situation to switch a steering mode to the manual steering mode during control in the autonomous steering mode is predicted and a manual steering request is transmitted at a time point that is prior, by a first predetermined time, to occurrence of the situation, or is transmitted when the vehicle arrives at a point that is located a first predetermined distance before a point where the situation is to occur.

Abstract: Exemplary embodiments relate to applications for soft robotic actuators in the manufacturing, packaging, and food preparation industries, among others. Methods and systems are disclosed for fixing target objects and/or receptacles using soft robotic actuators, for positioning target objects and/or receptacles, and/or for diverting or sorting objects. By using soft robotic actuators to perform the fixing, positioning, and/or diverting, objects of different sizes and configurations may be manipulated on the same processing line, without the need to reconfigure the line or install new hardware when a new object is received.

Abstract: Platoon management control systems and methods rearrange three of more vehicles cooperatively travelling seriatim as a platoon along an associated roadway into a platoon arrangement other than the linear or single file formation. Multi roadway lane platoon management control systems and methods control the three or more vehicles cooperatively travelling as a multi-lane platoon along an associated multi-lane roadway into a platoon arrangement other than the linear or single file formation. Larger platoon sizes are provided thereby enabling more vehicles to participate in the larger multi-lane platoon. A platoon management control uses a combination of the GPS position of the lead vehicle representative of the position of the vehicle relative to the associated geographical area, and braking performance data representative of the braking capabilities of following vehicles to rearrange the vehicles into the non-columnar formation.

Abstract: Provided is a method including: capturing, with at least one sensor of a robot, first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on observing at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.

Abstract: The vehicle control system is applied as a system of a vehicle mounted with an EPS device having an electric motor driven to control the steering angle. The vehicle control system includes a controller configured to perform steering control for controlling an energization of the electric motor to control the steering angle of the wheels. When the wheels are held after being steered by a specific steering in the steering control, the controller performs a steering return process in which the wheels are turned back and held in a direction opposite to a steering direction of the specific steering. And during a stationary steering-holding in which the steering angle is held and the vehicle is stopped, the controller performs an energization suppression process for reducing energization to the electric motor to be smaller than the energization before the stationary steering-holding.

Abstract: Technical solutions are described for generating a damping torque in a magnetic torque overlay (MTO) steering system. An example method includes generating a damping torque based on a vehicle speed value, a handwheel velocity value, and a differential pressure value. The method further includes detecting an off-road condition, and in response, computing an off-road damping torque signal based on one or more of the vehicle speed value, the handwheel velocity value, the differential pressure value, and a handwheel angle value. The method also includes scaling the damping torque by the off-road damping torque signal in response to detecting the off-road condition.

Abstract: An autonomous vehicle service system having a display device, a receiver, and a controller. The receiver is configured to receive transmitted data from an autonomous vehicle related to status of the autonomous vehicle and information from a third party related to road conditions. The controller is programmed to monitor the transmitted data related to the status of the autonomous vehicle and the road conditions, determine when the autonomous vehicle requires assistance based on the transmitted data, and, when the autonomous vehicle requires assistance, cause information related to the autonomous vehicle to be displayed on the display device.

Abstract: Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.

Abstract: Provided is a method including: capturing, with at least one sensor of a robot, first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on observing at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.

Abstract: An actuator control device includes: a turning control value calculation unit configured to calculate a turning control value that controls an actuator configured to turn a steered wheel on a basis of an operation state amount by a driver with respect to a steering mechanism of the vehicle; a target value setting unit configured to set a target value of a state amount indicating a traveling direction of the vehicle on a basis of a surrounding environment of the vehicle; a target value control unit configured to control the actuator by integral control so that actual the state amount approaches the target value; and an integral suppression unit configured to suppress an increase in a first integral value calculated in the integral control according to a second integral value calculated according to the operation state amount.

Abstract: Methods, apparatus, and computer readable media that are related to 3D object detection and pose determination and that may optionally increase the robustness and/or efficiency of the 3D object recognition and pose determination. Some implementations are generally directed to techniques for generating an object model of an object based on model point cloud data of the object. Some implementations of the present disclosure are additionally and/or alternatively directed to techniques for application of acquired 3D scene point cloud data to a stored object model of an object to detect the object and/or determine the pose of the object.

Abstract: The present disclosure provides a method and system by which a precise amount of a viscous fluid sealing compound can be dispensed at required locations through computer vision-based observation of the fluid deposited, its rate and amount of deposition and location; and that the dispensed fluid may be accurately shaped through robotic or other special purpose mechanism motion. The invention enables instant quality inspection of the dispensing process in terms of the locations, amounts and shapes of newly created seals.

Abstract: A method for assisting a surgical operator in performing a surgical procedure uses a surgical controlling system includes a controller having a processing means communicable with a controller's database, said controller configured to control the spatial position of a surgical tool. The controller's database is in communication with movement detection means. The controller's database is configured to store a predetermined set of rules according to which allowed and restricted movements of the surgical tool are determined, each detected movement by said movement detection means of said at least one surgical tool being determined as either an allowed movement or as a restricted movement according to said predetermined set of rules. The system automatically real-time analyzes and determines the location of each anatomical element in the surgical environment.

Abstract: A method includes receiving a first time-parameterized path for the first robotic device, and an indication of a second robotic device having a second time-parameterized path that overlaps with the first time-parameterized path at a first location. The method also includes executing, by the first robotic device, a first portion of the first time-parameterized path before reaching the first location, wherein execution of the first portion corresponds to a first rate of progress of the first robotic device along the first time-parameterized path. The first robotic device then receives a communication signal from the second robotic device indicating a second rate of progress of the second robotic device along the second time-parameterized path. The method then includes the first robotic device determining a difference between the first rate of progress and the second rate of progress, and modifying execution of the first time-parameterized path based on the determined difference.

Abstract: A learning based speed planner for autonomous driving vehicles (ADV) is disclosed. An ADV is set into human-driving mode. Driving control elements are under control of a human driver, and other ADV logic is enabled. The ADV plans a route path on a segment of the route having an obstacle. ADV logic generates a station-time graph for the path of the segment, and a grid of cells to encompass the path and obstacle. A feature vector is generated from the grid. Human driving behavior is recorded as the ADV is navigated along the path. Recorded driving data for a large plurality of paths, obstacles and ADVs is transmitted to a server to generate a speed model. The speed model is downloaded to one or more ADVs for use in autonomous driving mode, to determine an initial speed to use in similar driving situations.

Abstract: An apparatus for providing a rapidly perceivable display of vehicular data includes a processor, a sensor interface, a device display, and a memory. The memory contains instructions, which, when executed by the processor, cause the apparatus to obtain, via the sensor interface, vehicle data, determine, based on the vehicle data, a plurality of status datums, determine, for each status datum of the plurality of status datums, a current priority value, and display, on the device display, a hierarchical array. In at least one embodiment, the hierarchical array presents a set of status datums determined to have the highest current priority values of the plurality of status datums. In at least one embodiment, each status datum of the hierarchical array occupies a location in the hierarchical array corresponding to its current priority value.

Abstract: Systems and techniques for enabling interaction with physical objects as proxy objects representing virtual objects are provided herein. Virtual reality application data associated with a virtual reality application executed on a virtual reality device, a first virtual reality object data associated with a first virtual reality object from the virtual reality application, and virtual reality event data associated with one or more events from the virtual reality application may be received. Robotic arms including a robotic hand may grasp a first physical object which corresponds to the first virtual reality object of the virtual reality application. Sensors may detect a user interaction with the first physical object. Force feedback instructions commanding the robotic arms to move while maintaining grasp of the first physical object may be generated and executed based on detecting the user interaction with the first physical object and based on the virtual reality event data.

Abstract: A vehicle and a method for controlling the same are provided. In particular, the wheels of the vehicle wheels are controlled based on a possibility of collision between the vehicle and an object located in a peripheral region of the vehicle to minimize influence caused by the collision while simultaneously ensuring driving safety. The method includes estimating whether there is a high possibility of collision between the vehicle and the detected object. When the high possibility of collision between the vehicle and the object is estimated the wheels of the vehicle are operated based on a situation of the estimated collision to ensure driving stability of the vehicle during an actual collision between the vehicle and the object.

Abstract: The disclosure discloses a method of calibrating a moving region of a guide robot, including: detecting and receiving a movement instruction, and sending the received movement instruction to a controller; determining region calibration parameters corresponding to the received movement instruction according to a predetermined mapping relation between the movement instruction and the region calibration parameters, wherein the region calibration parameters include a pending moving region of the guide robot, a light display parameter in the pending moving region, and a driving parameter corresponding to the pending moving region and the light display parameter; driving the light emitting module to carry out light display calibration in the pending moving region according to the determined region calibration parameters. The disclosure further provides the guide robot and a computer storage medium. The technical solution of the disclosure enables the guide robot to display a marked region to be passed.

Abstract: Method and apparatus are disclosed for facilitating active protection of peripheral sensors. An example vehicle includes a sensor and a sensor protector. The example sensor protector is configured to, responsive to a vehicle collision, obtain diagnostic information from the sensor. The example sensor protector is also configured to determine whether to move the sensor from a first position to a second position based on the diagnostic information. The example sensor protector is also configured to cause the sensor to from the first position to the second position based on the determination.