A robot balance control method includes: obtaining force information associated with a left foot and a right foot of the robot; calculating a zero moment point of a center of mass (COM) of a body of the robot based on the force information; calculating a first position offset and a second position offset of the robot according to the zero moment point of the COM of the body; updating a position trajectory of the robot according to the first position offset and the second offset to obtain an updated position of the COM of the body; performing inverse kinematics analysis on the updated position of the COM of the body to obtain joint angles of the left leg and the right leg of the robot; and controlling the robot to move according to the joint angles.

The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

The present disclosure provides an end-to-end cargo handling system. The end-to-end cargo handling system comprises a transportation unit comprising a first sensing agent, a lift unit comprising a second sensing agent, and a control module in communication with the transportation unit and the lift unit via a network, wherein the transportation unit and the lift unit are configured to move a cargo unit from a first location to a second location autonomously.

Provided is a mobile robot that moves autonomously over a floor covered by a carpet, the mobile robot including an acceleration sensor that measures a translational acceleration of the mobile robot, an estimation unit that estimates an inclination of a pile of the carpet on a basis of the translational acceleration measured by the acceleration sensor while the mobile robot is accelerating or decelerating, and a movement control unit that controls a movement velocity and a movement direction of the mobile robot on a basis of the inclination of the pile estimated by the estimation unit.

In some aspects, a device may receive, from a radar scanner or a LIDAR scanner of a vehicle, point data that identifies a first point and a second point. The device may receive grid information that identifies cells of a grid that is associated with mapping a physical environment of the vehicle. The device may designate, based on determining that a distance between the first point and the second point satisfies a distance threshold, a subset of the cells as an occupied cluster that is associated with the first point and the second point. The device may perform an action associated with the vehicle based on location information associated with the occupied cluster. Numerous other aspects are described.

A mobile robot system for automated operation of a data center or telecommunications office, includes a moveable robotic platform with a multiplicity of tools integrated therein, to operate on a network element within a bay, with integrated RFID (radio-frequency identification) tags and visual alignment markers attached to fiber optic connectors and ports of the network elements. The mobile robot system positions a robot probe arm with an RFID probe for proximity detection to identify a cable and associated fiber optic connector based on a unique RF identifier of a tag on the fiber optic connector. The robot probe arm has a connector gripper to engage and unplug the associated fiber optic connector.

A system and method for determining orientation of a vehicle is provided. The method includes the steps of providing a vehicle having a hinge joint such that sections of the chassis are capable of rotation with respect to each other. A first and second wheel is mounted to one and the other of the chassis sections, respectively. Vehicle geometric data defining a distance between the hinge joint and the centers of the first and second wheels, respectively, and the diameter of the wheels is provided. Surface geometric data defining the curvature of the surface can be provided. The angle of rotation about the hinge joint is measured. An orientation of the vehicle relative to the surface based on the vehicle geometric date, the surface geometric data, and the measured angle of rotation can be determined. A system and method for determining the orientation of an object is also provided.

An underground exploration apparatus 100 that explores underground using electromagnetic waves includes a radar unit 1 for underground exploration including an antenna and a transceiver, three omni-directional movement type wheels 2a to 2c that are rotatably fixed to three wheel shafts arranged at 120 degrees intervals and can move the underground exploration apparatus in any direction by changing rotation directions and rotation speeds of the three wheels, three motors 3a to 3c that rotate the three wheels 2a to 2c in predetermined directions at predetermined speeds, a terminal 10 that controls the radar unit 1 and the three motors 3a to 3c. The terminal 10 includes a calculation unit 23 that calculates an external force applied to the underground exploration apparatus 100 using measurement data measured by three encoders 4a to 4c, three torque sensors 5a to 5c, an acceleration sensor 6, and a gyroscopic sensor 7, and a first control unit 26 that rotates the three motors 3a to 3c according to the external force.

A travel route determination system including: a route generating unit generating planned travel routes including work routes along which a work vehicle performs autonomous travel; a control unit capable of causing the work vehicle to perform autonomous travel along the planned travel routes; an information obtaining unit obtaining position information and orientation information on the work vehicle; and a determination unit determining an autonomous travel candidate route at which the work vehicle can start autonomous travel, before the work vehicle starts autonomous travel. The determination unit sets a candidate determination region based on the position information and orientation information on the work vehicle, and the determination unit determines, among the work routes, a work route in the candidate determination region as the autonomous travel candidate route.

A vehicular autonomous driving system includes a time division multiplexed (TDM) bus, an autonomous driving (AD) controller coupled to the TDM bus, and a plurality of AD sensors coupled to the TDM bus. The AD sensors are configured to collect AD data and transmit collected AD data to the AD controller on the TDM bus in an assigned time slot at a first power level. A first AD sensor of the plurality of AD sensors is configured to, based upon collected AD data, detect an AD emergency event. In response to the detection, the first AD sensor is configured to transmit an AD emergency message on the TDM bus in a non-assigned time slot and at a second power level that exceeds the first power level. The AD sensor may transmit the AD emergency message in a particular sub-slot of the non-assigned time slot.