Abstract: A vehicle control apparatus that provides control over a brake device or a power plant device of a host vehicle includes: an information acquisition part configured to acquire information on state of the brake device and the power plant device and information on front wheel steering angle; a determination part configured to determine whether or not an abnormality has occurred in a turnability improvement control; a deceleration force computation part configured to compute a required deceleration force; and a coordinated control part configured to perform a coordinated control in which a distribution ratio between a brake deceleration force of the brake device and a power plant deceleration force of the power plant device is adjusted. When an abnormality has occurred in the turnability improvement control, a sum of the brake deceleration force and the power plant deceleration force is degenerated according to a prescribed time rate of change.

Abstract: A steering control device which calculates a steering control amount for controlling steering of a vehicle includes a basic control amount calculation unit which calculate a basic control amount, and a steering control amount arithmetic unit which calculates the steering control amount with reference to self-aligning torque caused by a motion state amount of the vehicle and the basic control amount.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to an intelligent information conversion system and related methods for providing collaborative automatic driving to intelligent transportation systems, vehicle networking systems, collaborative management control systems, vehicle-road collaborative systems, automated driving systems, and the like.

Abstract: An oversized representation of at least a portion of a robot is filtered (e.g., voxels are set as unoccupied for any objects that reside completely within the oversized representation) from a representation of an operational environment, which provides a digital model of the operational environment which can, for example, be used for motion planning for the robot. The oversized representation exceeds a physical dimension of at least a portion (e.g. appendage) of the robot, to advantageously account for cables and other features that are attached to, and extending beyond, the outer dimensions of the robot. The specific dimensions of the oversized representation can be based on a variety of factors, for example a geometry of the cable, orientation or position of the robot appendage, orientation or position of the cable with respect to the robot appendage, velocity of the appendage, slack in the cable, etc., which may be modeled.

Abstract: Techniques for registering a computer-assisted device to a table include a computer-assisted device having an articulated arm and a control unit. The control unit is configured to receive information of a first motion of a table, the first motion comprising a first rotation about a first axis and causing a second motion of a point associated with the articulated arm; receive information of the second motion; receive information of a third motion of the table, the third motion of the table comprising a second rotation about a second axis different from the first axis and causing a fourth motion of the point; receive information of the fourth motion; determine a relationship between the computer-assisted device and the table based on a position of the point, the first rotation, the second motion, the second rotation, and the fourth motion; and control motion of the articulated arm based on the relationship.

Abstract: A vehicle includes a chassis, a driveline coupled to the chassis, and a control system. The control system is configured to monitor a condition of at least one of the vehicle, an area around the vehicle, or an operator of the vehicle; and control operation of the driveline based on the condition. Controlling the operation of the driveline includes at least one of limiting a speed at which the driveline drives the vehicle or shutting down the driveline and isolating a component of the driveline.

Abstract: The present disclosure relates to a vehicle, a method, a device and a steering system for a vehicle. In particular, the disclosure relates to a device for a vehicle with a first direct voltage source and at least one second direct voltage source, which are connected in series, for operating a consumer in the vehicle. The device comprises a potential tap which is designed to tap a potential between the first and the second direct voltage source. The device further comprises a circuit which is designed to provide the potential tapped between the first and the second direct voltage source for operating the consumer in the event of a fault in the first or second direct voltage source.

Abstract: According to one aspect of the present disclosure, a transfer device has a first holding part configured to contact an edge part of a substrate when holding the substrate, and a second holding part formed with an elastic member and configured to contact only a back surface of the substrate when holding the substrate.

Abstract: A braking/driving force control method includes detecting an accelerator stroke amount being the stroke amount of an accelerator pedal, calculating a driving force to be generated by a vehicle driving force source when the accelerator stroke amount is larger than a predetermined first stroke amount, calculating a deceleration driving force to be generated by the vehicle driving force source when the accelerator stroke amount is smaller than a second stroke amount set to a value smaller than or equal to the first stroke amount, controlling the vehicle driving force source to generate the calculated driving force and deceleration driving force, and generating a braking force on wheels according to a depressing operation of a brake pedal by a driver and controlling a brake stroke amount being the stroke amount of the brake pedal according to the calculated deceleration driving force.

Abstract: A method for predicting travel of a vehicle includes determining a prediction starting location and a plurality of prediction destinations including a plurality of possible intersections within a boundary at a predefined distance from the starting location. The method also includes determining, for each destination, at least one route to the destination, resulting in a plurality of routes at least one of which corresponds to each destination, including determining a statistical likelihood of the vehicle remaining on an intersection-exit that is along a potential route and selecting at least one route to each destination with the highest statistical likelihood. Responsive to the vehicle no longer being on a selected route, selecting at least one new route to the at least one destination.

Abstract: Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program.

Abstract: Techniques for determining unified futures of objects in an environment are discussed herein. Techniques may include determining a first feature associated with an object in an environment and a second feature associated with the environment and based on a position of the object in the environment, updating a graph neural network (GNN) to encode the first feature and second feature into a graph node representing the object and encode relative positions of additional objects in the environment into one or more edges attached to the node. The GNN may be decoded to determine a first predicted position of the object. The first predicted position may be determined to be outside of a bounded area of the environment. Based on this determination, a second predicted position of the object may be determined using map data associated with the object.

Abstract: The braking control device includes a control amount derivation unit that derives a target vehicle braking force representing a target value of a vehicle braking force applied, and a braking control unit that controls a regenerative braking device and a frictional braking device based on the target vehicle braking force. When the target vehicle braking force is increased, the braking control unit executes a braking force application process of increasing the frictional braking force applied to the wheel so that such frictional braking force becomes larger than the regenerative braking force applied to the wheel. When the target vehicle braking force is increased, the braking control unit executes a switching process of switching at least a part of the frictional braking force applied to the wheel to the regenerative braking force to increase the regenerative braking force applied to the wheel after execution of the braking force application process.

Abstract: A method of avoiding collision between mechanical equipment (10) and obstacles, and a device and controller for this, by detecting whether an external conductor is approaching the device (10); when detecting that the external conductor is approaching the mechanical equipment (10), generating an electrical signal representing a distance between the external conductor and the housing of the mechanical equipment (10) or a change of the distance between the external conductor and the housing of the mechanical equipment (10); controlling the mechanical equipment (10) based on electrical signal so as to avoid the mechanical equipment (10) from collision with the external conductor or to reduce a strength of the collision.

Abstract: A method for performing a task by a robotic device includes mapping a group of task image pixel descriptors associated with a first group of pixels in a task image of a task environment to a group of teaching image pixel descriptors associated with a second group of pixels in a teaching image based on positioning the robotic device within the task environment. The method also includes determining a relative transform between the task image and the teaching image based on mapping the plurality of task image pixel descriptors. The relative transform indicates a change in one or more of points of 3D space between the task image and the teaching image. The method also includes performing the task associated with the set of parameterized behaviors based on updating one or more parameters of a set of parameterized behaviors associated with the teaching image based on determining the relative transform.

Abstract: An apparatus for preventing rolling of a vehicle operating in an automatic vehicle hold mode includes a reset determination unit configured to determine whether an automatic hold controller controlling an operation of the automatic vehicle hold mode has been reset, a mode determination unit configured to determine whether a mode of the vehicle is the automatic vehicle hold mode when it is determined that the automatic hold controller has been reset, and a vehicle control unit configured to brake the vehicle, based on at least one of a gear position, an opening degree of an accelerator pedal, and whether a brake pedal is operated, when it is determined that the mode of the vehicle is the automatic vehicle hold mode.

Abstract: A heavy-duty vehicle includes a chassis, a wheel supporting the chassis, a drive system, a service brake, a drive system controller, and a service brake controller. The drive system includes a motor associated with the wheel. The motor is configured to propel the wheel and to apply a dynamic brake torque to the wheel. The service brake is associated with the wheel and configured to apply a service brake torque to the wheel. The drive system controller controls operation of the motor. The drive system controller selectively modulates the dynamic brake torque to the wheel based on traction conditions. The service brake controller controls operation of the service brake. The service brake controller may selectively modulate the service brake torque to the wheel based on the traction conditions. Modulation of the dynamic brake torque may be disabled during modulation of the service brake torque.

Abstract: An operation system and an operation method that may improve operability are provided. The operation system includes a circuitry configured to determine a predicted value of an operator motion after a predetermined prediction latency from a current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator and a controller configured to control a motion of a robot based on the predicted value. The operation method includes a step of determining a predicted value of an operator motion after a predetermined latency from the current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator, and a step of controlling a motion of a robot on the predicted value.

Abstract: A server device includes a communication unit and a control unit that send and receives information to and from another device via the communication unit. The control unit receives, from a plurality of terminal devices, information indicating a boarding point at which a user of each of the terminal devices desires to board a vehicle, sends, to the vehicle, information for causing the vehicle to travel along a route via a nearby region of each of a plurality of the boarding points while satisfying a predetermined condition, and notifies the terminal devices of the route.

Abstract: Implementations relate to training a point cloud prediction model that can be utilized to process a single-view two-and-a-half-dimensional (2.5D) observation of an object, to generate a domain-invariant three-dimensional (3D) representation of the object. Implementations additionally or alternatively relate to utilizing the domain-invariant 3D representation to train a robotic manipulation policy model using, as at least part of the input to the robotic manipulation policy model during training, the domain-invariant 3D representations of simulated objects to be manipulated. Implementations additionally or alternatively relate to utilizing the trained robotic manipulation policy model in control of a robot based on output generated by processing generated domain-invariant 3D representations utilizing the robotic manipulation policy model.