Abstract: A robot control system includes a robot controller, a data transmission module, a servo drive module, a safety unit, a demonstrator, and a power module. The servo drive module is connected to the robot controller via the data transmission module and receives a movement instruction to drive a robot to move. The safety unit is connected to the robot controller and the servo drive module via the data transmission module and turns off, upon receiving an abnormal input signal or a failure signal, the servo drive module and transmits the abnormal input signal or the failure signal to the robot controller. The demonstrator receives a terminal video signal and a first control interaction signal from the robot controller, and sends a second control interaction signal to the robot controller to control operation of the robot controller. The power module is electrically connected to the robot controller and the safety unit.

Abstract: Systems and techniques for inspecting vehicles. Some embodiments provide a system for vehicle inspection, including a support member having a first portion and a second portion angled relative to the first, and a plurality of sensor arrays coupled thereto. The plurality of sensor arrays may include respective sets of cameras oriented in multiple directions. The plurality of sensor arrays may be coupled to the support member at different positions. The plurality of sensor arrays may include: a first sensor array having one or more wheels of a vehicle in its field of view (FOV) when imaging the vehicle, a second sensor array having vehicle side in its FOV when imaging the vehicle, and a third sensor having a vehicle roof in its FOV when imaging the vehicle. The system may also include a processor configured to control the plurality of sensor arrays to capture images of the vehicle.

Abstract: A robot controller includes a case having an intake port and an exhaust port and a flow channel connecting the intake port and the exhaust port, in which a gas supplied from the intake port flows toward the exhaust port, a circuit board placed within the flow channel and converting one of an alternating current and a direct current into the other, and a regenerative resistor placed downstream of the circuit board within the flow channel and consuming a counter electromotive force generated from a motor of a robot. Further, the intake port and the exhaust port are placed in a same surface.

Abstract: A method includes accessing first image data captured by a camera of an environmental scene in which a subject arm performs a task. A first image is obtained from the first image data. The first image includes a subject arm object representing the subject arm and a background representing the environmental scene. A set of robot arm parameters for the first image is determined at least in part based on the subject arm object. An image of a robot arm object is rendered based on the set of robot arm parameters and a robot arm model. The image of the robot arm object is composited with the first image to obtain a synthetic robot image, which may be used for generating training data for AI model training.

Abstract: A numerical control system 1 comprises a numerical control device 5 for generating a machine tool command signal and a robot command signal, and a robot control device 6 for controlling the operation of a robot 3 on the basis of the robot command signal. The numerical control device 5 includes a coordinate form information management unit 524 for managing coordinate information according to a designated coordinate format that is based on a numerical control program, and a robot command signal generation unit 525 for generating the robot command signal on the basis of said coordinate information and a robot numerical control program.

Abstract: Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In the embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information form the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and region map.

Abstract: A vehicle control apparatus includes one or more processors. The one or more processors execute determination as to whether a driving state of the vehicle involves difficulty in continuing the automatic driving. In a case where the driving state is determined as involving difficulty in continuing the automatic driving, the one or more processors execute determination on a difficulty level of operation authority transfer from the automatic driving to the manual driving on the basis of information regarding a surrounding environment of the vehicle, information regarding a driving skill of a driver, and information regarding an experience level of the driver of the operation authority transfer. The one or more processors execute setting of a driving-state condition for executing the operation authority transfer in accordance with the difficulty level. The one or more processors execute the operation authority transfer in a case where the driving-state condition is satisfied.

Abstract: There are provided robot swarms and methods of operating thereof. Such a swarm may include two or more robots each having a microphone, a speaker, and a communication terminal for sending or receiving an electromagnetic signal to or from a communication partner to affect electromagnetic communication with the communication partner. Upon detection of a disruption to the electromagnetic communication, a given robot of the two or more robots may switch from electromagnetic communication to acoustic communication by exchanging an acoustic signal between one of the speaker and the microphone of the given robot and one of a corresponding microphone and a corresponding speaker of a corresponding communication partner.

Abstract: A turning behavior control device for a vehicle includes a yaw rate detection unit, a brake unit, a drive source, and a travel control unit. The travel control unit includes a deviation value calculation unit that calculates a deviation between a reference yaw rate for determining the degree of understeer during turning of the vehicle and an actual yaw rate detected by the yaw rate detection unit, a braking force control unit that outputs, to the brake unit, a first signal for applying the braking force to a turning inner-side rear wheel or a turning inner-side front wheel when determining that the deviation exceeds a predetermined deviation reference value, and a driving force control unit that outputs, to the drive source, a signal for applying a driving force to a turning outer-side rear wheel or a turning outer-side front wheel when the braking force control unit outputs the signal.

Abstract: A robot includes a robot hand, a robot arm, a force sensor, and a control device. The control device performs admittance control to determine a position of the robot hand in accordance with a force detected by the force sensor, and provides, to the robot arm, an instruction to move the robot hand to the determined position. Further, the control device records, as teaching data, the instruction provided to the robot arm.

Abstract: A system for assisting a vehicle having a trailer includes a drone having at least one sensor adapted to collect sensor data. The drone is selectively attachable to the vehicle. A controller is in communication with the drone. The controller is adapted to selectively execute an assessment mode, an operational mode, and a delivery mode, the operational mode being executed after the assessment mode is completed. The drone is adapted to conduct a set of initial checks during the assessment mode, the drone being adapted to fly around the trailer and/or the vehicle during the assessment mode. The drone is attached to the vehicle during the operational mode. The delivery mode is executed upon arrival of the vehicle at a predefined destination, the drone being adapted to be in flight during the delivery mode.

Abstract: A method performed by a surgical robotic system that includes a seat that is arranged for a user to sit and a display column that includes at least one display for displaying a three-dimensional (3D) surgical presentation. The method includes receiving an indication that the user has manually adjusted the seat and in response, determining, while the user is sitting on the seat, a position of the user's eyes, determining a configuration for the display column based on the determined position of the user's eyes, and adjusting the display column by actuating one or more actuators of the display column according to the determined configuration.

Abstract: A robot stability control method includes: obtaining a desired zero moment point (ZMP) and a fed-back actual ZMP of a robot at a current moment; based on a ZMP tracking control model, the desired ZMP and the actual ZMP, calculating a desired value of a motion state of a center of mass of the robot at the current moment, wherein the desired value of the motion state of the center of mass comprises a correction amount of the position of the center of mass; based on a spring-mass-damping-acceleration model and the desired value of the motion state of the center of mass, calculating a lead control input amount for the correction amount of the position of the center of mass; and controlling motion of the robot according to the lead control input amount and a planned value of the position of the center of mass at the current moment.

Abstract: Technical solutions described herein include a method of controlling an electric power steering system includes determining that one or more hand wheel torque sensors of electric power steering system are not operational and in response generating an assist torque command by estimating a front slip angle based on a motor angle of a motor of the electric power steering system and a vehicle speed. The method also includes converting the front slip angle to a rack force. The method also includes determining an amount of assist torque based on the rack force and controlling the electric power steering system using the generated assist torque command.

Abstract: Teaching including adjustment of an inclination of a suction tool with respect to an object is performed in teaching of a suction position of the suction tool. A sticker affixing system includes an articulated robot, a controller, a suction tool attached to a distal end of the articulated robot, a force sensor, and a storage. The controller causes the articulated robot to execute an operation of bringing the suction tool close to a sticker on a release paper in a teaching mode, an operation of adjusting a suction position of the suction tool and an inclination in a traveling direction (roll axis X) of the suction tool in peeling off the sticker based on a signal from the force sensor, and an operation of storing the teaching data including information about the adjusted suction position and the inclination of the suction tool in the storage.

Abstract: Various embodiments provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.

Abstract: Some aspects provide a system including a mobile robot and a recharging station. The mobile robot aligns with the recharging station based on at least a first signal received by a first signal receiver of the mobile robot and the mobile robot is actuated to adjust a direction of movement of the mobile robot based on at least the first signal received by the first signal receiver of the mobile robot.

Abstract: A robotic surgical system includes an eye gaze sensing system in conjunction with a visual display of a camera image from a surgical work site. Detected gaze of a surgeon towards the display is used as input to the system. This input may be used by the system to assign an instrument to a control input device (when the user is prompted to look at the instrument), or it may be used as input to a computer vision algorithm to aid in object differentiation and seeding information, facilitating identification/differentiation of instruments, anatomical features or regions.

Abstract: A vehicle monitoring system includes a controller and one or more vibration sensors that measure operational frequencies of different vehicle components during operation of the vehicle. The controller receives the measured operational frequencies and compares them to modeled frequencies for one or more operational states of each of the different vehicle components. The controller determines that the operational frequencies in a particular frequency range associated with a specific component correspond to an abnormal operational state for that specific component in response to the operational frequencies in the particular frequency range deviating from the modeled frequencies for a normal operational state of the specific component or matching the modeled frequencies for the abnormal operational state of the specific component. The controller generates and presents the abnormal operational state of the specific component on one or more of a vehicle console or a user device.

Abstract: A parking assistance method includes: storing positions of target objects detected around the target parking position as learned target object positions; when the own vehicle travels in a vicinity of the target parking position after the learned target object positions are stored, counting the number of times that the learned target object position coincides with a surrounding target object position of a target object detected around the own vehicle and providing a higher degree of reliability to the learned target object position having a larger number of times of coincidence with the surrounding target object position; by comparing the learned target object position having a degree of reliability greater than or equal to a predetermined threshold degree of reliability with a position of a target object detected around the own vehicle, calculating a relative position of the own vehicle with respect to the target parking position.