Leg mechanism and humanoid robot
    321.
    发明授权

    公开(公告)号:US11713088B2

    公开(公告)日:2023-08-01

    申请号:US17134202

    申请日:2020-12-25

    CPC classification number: B62D57/032 B25J13/085 B25J17/00

    Abstract: A leg mechanism of a humanoid robot includes: an upper leg, a lower leg rotatably coupled to the upper leg, a knee module actuator mounted to the upper leg, a foot rotatably connected to the lower leg, a knee transmission mechanism connected to the knee module actuator and the lower leg and configured to transmit rotary motion from the knee module actuator to the lower leg, at least one ankle module actuator mounted to the upper leg, at least one ankle transmission mechanism connected to the at least one ankle module actuator and the foot and configured to transmit rotary motion from the at least one ankle module actuator to the foot.

    MAPPING METHOD FOR MOBILE ROBOT, MOBILE ROBOT AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230205212A1

    公开(公告)日:2023-06-29

    申请号:US18171630

    申请日:2023-02-20

    CPC classification number: G05D1/0212 G05D1/0274

    Abstract: A mapping method for a mobile robot includes: obtaining positions of particles corresponding to the mobile robot using a particle filtering approach; selecting one of the particles with a largest weight in a particle swarm corresponding to a current time point, performing position matching between the one of the particles and a historical trajectory formed by the one of the particles with the largest weight, and determining whether the positions of the particles corresponding to the mobile robot match positions of historical trajectory points of the mobile robot; in response to the positions of the particles corresponding to the mobile robot matching the positions of the historical trajectory points of the mobile robot, optimizing a trajectory of the mobile robot using a graph optimization approach; and building a map based on the optimized trajectory.

    Computer-implemented method for text conversion, computer device, and non-transitory computer readable storage medium

    公开(公告)号:US11645474B2

    公开(公告)日:2023-05-09

    申请号:US17133673

    申请日:2020-12-24

    CPC classification number: G06F40/40 G10L13/08

    Abstract: A computer-implemented method for text conversion, a computer device, and a non-transitory computer readable storage medium are provided. The method includes: obtaining a text to be converted; performing a non-standard word recognition on the text to be converted, to determine whether the text to be converted includes a non-standard word; recognizing the non-standard word in the text to be converted by using an eXtreme Gradient Boosting model in response to the text to be converted including the non-standard word; and obtaining a target converted text corresponding to the text to be converted, according to a recognition result outputted by the eXtreme Gradient Boosting model. The method has a faster recognition speed and a higher recognition accuracy compared with the deep learning model.

    Navigation map updating method and apparatus and robot using the same

    公开(公告)号:US11629964B2

    公开(公告)日:2023-04-18

    申请号:US16843923

    申请日:2020-04-09

    Abstract: The present disclosure discloses a navigation map updating method as well as an apparatus, and a robot using the same. The method includes: controlling a robot to move along a designated path after a successful relocalization of the robot, and recording key frame data of each frame on the designated path and a corresponding pose; creating a new navigation map, and copying information in an original navigation map into the new navigation map; and covering the key frame data of each frame on the designated path onto the new navigation map to obtain an updated navigation map. In this manner, there is no need for the user to manipulate the robot to recreate the map at the environment where the robot is operated, which saves a lot of time and manpower.

    Elevation device and robot
    327.
    发明授权

    公开(公告)号:US11619344B2

    公开(公告)日:2023-04-04

    申请号:US17243523

    申请日:2021-04-28

    Abstract: An elevation device includes a mounting frame, a rotary actuator fixed to the mounting frame, a shaft connected to the rotary actuator and rotatable with respect to the mounting frame, a drive bar slidably connected to the mounting frame, and a connecting member fixed to the shaft. The shaft defines a helical groove in a lateral surface thereof. The drive bar includes a post that is movably fit in the helical groove. The mounting frame, the shaft and the drive bar constitute a conversion mechanism that converts rotation of the shaft into linear motion of the drive bar. The drive bar is slidable with respect to the mounting frame along a direction that is parallel to an axis of rotation of the shaft.

    Robot balance control method, computer-readable storage medium and robot

    公开(公告)号:US11604466B2

    公开(公告)日:2023-03-14

    申请号:US17120232

    申请日:2020-12-13

    Abstract: 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.

    External parameter calibration method for robot sensors and apparatus and robot with the same

    公开(公告)号:US11590655B2

    公开(公告)日:2023-02-28

    申请号:US16611475

    申请日:2018-12-26

    Abstract: The present disclosure provides an external parameter calibration method for robot sensors as well as an apparatus, robot and storage medium with the same. The method includes: obtaining first sensor data and second sensor data obtained through a first sensor and a second sensor of the robot by collecting position information of a calibration reference object and converting to a same coordinate system to obtain corresponding first converted sensor data and second converted sensor data, thereby determining a first coordinate and a second coordinate of a reference point of the calibration reference object; using the first coordinate and the second coordinate are as a set of coordinate data; repeating the above-mentioned steps to obtain N sets of the coordinate data to calculate the external parameter between the first sensor and the second sensor in response to a relative positional relationship between the robot and the calibration reference object being changed.

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