The present invention relates to a method of cookware handling in varied environments including that in robotic systems, production lines, automated cooking and ingredient collection systems, washing and sanitizing manual or automated systems. The method involves use of electromagnetic force to generate friction that translate into gripping force for the cookware or likewise. The electromagnetic force may be generated by degaussing electromagnets.

A method of controlling the motion of a two-legged robot includes: acquiring gait parameters of the two-legged robot; inputting the gait parameters to a preset gait planning model; determining gait trajectory parameters of the two-legged robot based on the gait parameters through the preset gait planning model, in which the gait trajectory parameters include a center-of-mass state corresponding to a double support phase and a center-of-mass state corresponding to a single support phase, and the center-of-mass state includes a center-of-mass position and a center-of-mass movement speed; and controlling the two-legged robot to move according to the gait trajectory parameters.

A robot system includes a sensor, a robot equipped with a gripping device capable of gripping a detected article, and a controller. The controller includes a gripping area setting unit that, for each article, sets a gripping area in which the gripping device is to be positioned when it grips the article, a determination unit that determines presence or absence of interference between the gripping area and other articles, a storage unit that stores a result of determination on the presence or absence of interference determined by the determination unit in association with each detected article, a robot control unit that causes the gripping device to pick up an article for which no other article interferes with the gripping area thereof, and an updating unit that updates the result of determination stored in the storage unit every time an article is picked up by the gripping device.

Method and apparatus for working-place backflow of robots, comprising: acquiring current coordinates of robots currently in an idle state in a working place; acquiring all destination coordinates where the robots are going to return; calculating, according to distances and time from the current coordinates to all destination coordinates, target destination coordinates nearest to the current coordinates; controlling the robots to move out of the working place according to backflow paths corresponding to the target destination coordinates, ensuring order departure of the robots; performing, when paths intersect, queuing management on the robots, to determine a crowding point zone; setting, according to pass requests sent by robots in the crowding point zone, scheduling commands respectively for the robots in the crowding point zone; and sending the commands respectively to the robots in the crowding point zone, to make the robots having received the commands pass through the crowding point zone based thereon.

The presently described systems and methods for automated prescription dispensing provide a virtual prescription verification environment that enables a pharmacist to fill prescriptions, control and remotely verify the performance of pharmacy robotic devices, and counsel patients effectively through a highly secure application.

A motor number setting method adopted by an electronic device including an MCU and multiple motors in series connection with a communication port of the MCU. When performing a setting procedure, the MCU obtains a motor amount of the multiple motors, and scans the communication port for obtaining a motor-number of each motor. Next, the MCU determines whether an amount of different motor-numbers equals the motor amount of the multiple motors. If the amount of different motor-numbers differs from the motor amount of the motors, the MCU sends a random numbering command to multiple motors having an identical motor-number so as to make these motors respectively performing a random numbering procedure for generating a new motor-number. Next, the MCU again scans the communication port until determining that the amount of the different motor-numbers equals the motor amount of the motors.

A motion control method includes: acquiring a current state parameter of a robot in response to determining that the robot is in a single-foot supporting state; and determining, based on a first preset function and a preset angular momentum value, the position of the centroid of the robot relative to a swing foot at an end moment of the current single-foot supporting state according to the current state parameter of the robot, such that an angular momentum of the centroid relative to the support foot at an end moment of a next single-foot supporting state reaches the angular momentum value, and controlling the robot to walk according to the position of the centroid of the robot relative to the swing foot at the end moment of the current single-foot supporting state.

A robot control system and a method for automatic camera calibration is presented. The robot control system includes a control circuit configured to determine all corner locations of an imaginary cube that fits within a camera field of view, and determine a plurality of locations that are distributed on or throughout the imaginary cube. The control circuit is further configured to control a robot arm to move a calibration pattern to the plurality of locations, and to receive a plurality of calibration images corresponding to the plurality of locations, and to determine respective estimates of intrinsic camera parameters based on the plurality of calibration images, and to determine an estimate of a transformation function that describes a relationship between a camera coordinate system and a world coordinate system. The control circuit is further configured to control placement of the robot arm based on the estimate of the transformation function.

A robot control system and a method for automatic camera calibration is presented. The robot control system includes a control circuit configured to control a robot arm to move a calibration pattern to at least one location within a camera field of view, and to receive a calibration image from a camera. The control circuit determines a first estimate of a first intrinsic camera parameter based on the calibration image. After the first estimate of the first intrinsic camera parameter is determined, the control circuit determines a first estimate of a second intrinsic camera parameter based on the first estimate of the first intrinsic camera parameter. These estimates are used to determine an estimate of a transformation function that describes a relationship between a camera coordinate system and a world coordinate system. The control circuit controls placement of the robot arm based on the estimate of the transformation function.

A manipulator can includes a frame, a first deployable support element configured to extend or retract with respect to the frame when acted on by an actuator, a static support element fixedly connected with the frame and comprising a second set of retention elements, and any suitable number of additional deployable support elements. Each support element can further include a respective set of retention elements configured to retain an item. In use, a manipulator can be used to move items by identifying an item contact area of an item to be moved, selectively deploying or retracting the deployable support elements based on the item contact area, and then contacting and retaining the item with the retention elements of the selected support elements.