Abstract: A robot safety monitoring system includes a stereo camera set configured to photograph a robot and a monitoring area around the robot and a processor connected to the stereo camera set. The stereo camera set includes a first camera including a plurality of first camera modules spaced apart from each other, and a second camera including a plurality of second camera modules spaced apart from each other. Based on a first direction, the first camera and the second camera have different fields of view. The processor is configured to set the monitoring area, determine whether an object is present in the monitoring area, and control the robot based on determining that an object is present in the monitoring area.

Abstract: A method for planning a driving trajectory defining a travelling path for a vehicle, wherein the driving trajectory is intended to be followed by executing one or more vehicle manoeuvres and wherein the vehicle comprises at least one environment perception sensor having a sensor field of view he method includes planning the driving trajectory from a first point to a second point, by including at least one additional vehicle manoeuvre resulting in a deviation from an otherwise expected travelling path from the first point to the second point, so that each section of an area which the vehicle is intended to pass from the first point to the second point is covered in the sensor field of view at least one time during driving from the first point to the second point and at least before passing each respective section.

Abstract: A numerical control system 1 comprises a numerical control device 5 that generates a machine tool command signal as a command directed to a machine tool 2, in accordance with a machine tool numerical control program, and generates a robot command signal as a command directed to a robot 3, in accordance with a robot numerical control program, and a robot control device 6 that is capable of communicating with the numerical control device 5, and controls an operation of the robot 3 on the basis of the robot command signal. The robot control device 6 acquires form information that is information necessary for identifying the form of the robot 3, and transmits the form information to the numerical control device 5. The numerical control device 5 generates a robot command signal on the basis of the form information transmitted from the robot control device 6 and the robot numerical control program.

Abstract: There is provided a mobile device that operates in order to image a subject, the mobile device including an imaging unit, a sensor that recognizes a surrounding environment, and a light emitting unit disposed on a housing in a ring shape or on the entire surface of the housing. The operation of the mobile device includes imaging, based on a set photographing plan, with the imaging unit, the subject recognized by the sensor as the mobile device moves. The light emitting unit performs a light emission expression corresponding to at least one of the photographing plan and the operation of the mobile device.

Abstract: One variation of a method S100 for autonomously scanning and processing a part includes: collecting a set of images depicting a part positioned within a work zone adjacent a robotic system; assembling the set of images into a part model representing the part. The method includes segmenting areas of the part model—delineated by local radii of curvature, edges, or color boundaries—into target zones for processing by the robotic system and exclusion zones avoided by the robotic system. The method includes: projecting a set of keypoints onto the target zone of part model defining positions, orientations, and target forces of a sanding head applied at locations on the part model; assembling the set of keypoints into a toolpath and projecting the toolpath onto the target zone of the part model; and transmitting the toolpath to a robotic system to execute the toolpath on the part within the work zone.

Abstract: Provided is a driving control method, of a display of a vehicle, including receiving an input signal selected for one of an open mode and a closed mode of the display of the vehicle, operating a drive motor of the display to move the display to a preset target position according to the input signal for each of the modes, and stopping the drive motor after the display reaches the preset target position, wherein the driving control method further includes detecting external resistance by measuring a current value of the drive motor between the operating of the drive motor and the stopping of the drive motor.

Abstract: Systems and methods for enhanced vehicle audio seat vibration with individual passenger controls. An example system includes a controller configured to obtain an input audio signal. The controller filters the input audio signal via one or more filters, with the one or more filters including a low-pass filter. The controller is in communication with a multitude of intensity controllers usable by respective persons within a vehicle, with the intensity controllers specifying respective intensities. The controller configures an amplifier based on the respective intensities, and the amplifier causes output from seat exciters configured for mounting on seats of the persons.

Abstract: The present disclosure describes robots, tele-operation systems, methods, and computer program products where a robot is selectively operable in a plurality of control modes. Based on identification of a fault condition (when the robot fails to act in a suitable or sufficient manner), a control mode of the robot can be changed to provide a human operator with more explicit control over the robot. In this way, the fault condition can be resolved by human operator input, and the control modes, AI, or control paradigm for the robot can be trained to perform better in the future.

Abstract: Training a Gaussian process state space model, which describes a correlation between selected control parameters of a plurality of control parameters for controlling a robotic device and output variables of the robotic device assigned in each case.

Abstract: A transport apparatus includes a transport module for transporting a material, a first control module in which a control program for controlling operations of the transport module is installed, and a second control module in which the control program is installed. The second control module monitors operations of the first control module and executes the control program to control the operations of the transport module when a failure occurs in the first control module.

Abstract: The present disclosure provides a method and system for path planning of an unmanned vehicle in a three-dimensional terrain and relates to the technical field of path planning. The method includes building a random tree with an initial point of a to-be-planned path as a node; generating a random node based on a goal bias strategy and a multi-sampling strategy; determining a node in the random tree and with a minimum two-dimensional distance from the random node as a nearest node; determining a direction from the nearest node to the random node as an extension direction; determining a point corresponding to a preset step length as a to-be-determined node in the extension direction with the nearest node as a starting point; and updating the random tree or determining a path cut-off random tree through elevation detection and path search cut-off detection, so as to determine the to-be-planned path.

Abstract: A robot controller for controlling a robot arm includes a first space shaping module configured to provide a shaped first space target motion by convolving a first space target motion with an impulse train, where the first space target motion defines a target motion in a first reference space; a second space shaping module configured to provide a shaped second space target motion by convolving a second target motion with the impulse train; where the second target motion defines the target motion in a second reference space; and a motor controller module to generate motor control signals to the joint motors based on the shaped first space target motion and the shaped second space target motion.

Abstract: A robot includes: a base having a plurality of wheels; a body having a bottom portion coupled above the base, and a top portion above the bottom portion, the top portion configured to support food and/or drink; a first camera at the bottom portion, wherein the first camera is oriented to view upward; and a second camera at the top portion, wherein the second camera is configured to view upward.

Abstract: Techniques and apparatus for adaptively controlling an end-effector of a robotic arm are provided. The end-effector includes at least one articulated finger having multiple facets arranged on a surface of the at least one articulated finger. The robotic arm is moved to engage an item using the at least one articulated finger. At least one of an amount of force or an amount of torque applied to the multiple facets on the surface of the at least one articulated finger is determined while the item is engaged using the at least one articulated finger. At least one of a position and orientation of the at least one articulated finger is adaptively controlled, based on at least one of the determined amount of force or the amount of torque.

Abstract: Provided are systems, methods, and computer program products for data-driven optimization of onboard data collection, comprising identifying a condition in a roadway associated with an operation of autonomous vehicles (AVs) that may be further optimized to improve performance of one or more AVs; and generating condition capture instructions to communicate to the AVs, wherein the condition capture instructions comprise one or more parameters of a storage request in one or more roadways predicted to exhibit the condition in the roadway; and when at least one instruction in the one or more condition capture instructions is received by an AV, the at least one instruction is configured to cause the AV to collect condition information in the roadway at a time when the condition is predicted to be present in the roadway.

Abstract: A manager mounted on a vehicle includes one or more processors configured to receive a plurality of kinematic plans from a plurality of advanced driver assistance system applications, arbitrate the kinematic plans, calculate motion request based on an arbitration result of the kinematic plans regardless of presence or absence of failure of a plurality of actuator systems including steering systems, and distribute the motion request to at least one of the actuator systems according to content of the failure of the actuator systems.

Abstract: An SSA business device is a business device with which an SSA business operator manages space object information. The SSA business device includes a space traffic management device that is compatible with space traffic management devices respectively included in business devices that manage space objects. The SSA business device is connected, through the space traffic management device, to a space traffic management system in which the space traffic management devices respectively included in the business devices are mutually connected with a communication line.

Abstract: Techniques are disclosed that enable the generation of predicted sequences of terminals using a generator model portion of a prediction model. Various implementations include controlling actuators of a robot based on the predicted sequences of terminals. Additional or alternative implementations include jointly training the generator model portion of the prediction model using a discriminator model portion of the prediction model using, for example, stochastic adversarial based sampling.

Abstract: The disclosure relates to a method for operating a hybrid electric vehicle. According to the method, a route information is received in the form of a plurality of parameter sets, each parameter set relating to a segment of a route (S1). Subsequently, a power demand is estimated for each segment (S3) and a portion of an amount of energy being stored in the electric storage device is allocated to at least one of the segments. Alternatively or additionally, an amount of energy to be transferred into the electric storage device is allocated to at least one of the segments (S4). Additionally, at least one reference trajectory describing a state-of-energy of the electric storage device over the route resulting from the energy allocation is derived (S5). The operation of the hybrid electric vehicle is controlled as a function of a slope between a current state-of-energy and an upcoming control point on the reference trajectory (S7).

Abstract: Collision detection useful in motion planning for robotics advantageously employs data structure representations of robots, persistent obstacles and transient obstacles in an environment in which a robot will operate. Data structures may take the form of hierarchical data structures ((e.g., octrees, sets of volumes or boxes (e.g., a tree of axis-aligned bounding boxes (AABBs), a tree of oriented (not axis-aligned) bounding boxes, or a tree of spheres)) or non-hierarchical data structures (e.g., Euclidean Distance Fields) Such can result in computational efficiency, reduce memory requirements, and lower power consumption. The collision detection can take the form as a standalone function, providing a Boolean result that can be employed in executing any of a variety of different motion planning algorithms.