Robot climbing control method and device and storage medium and robot

    公开(公告)号:US11631192B2

    公开(公告)日:2023-04-18

    申请号:US17107860

    申请日:2020-11-30

    Abstract: A robot climbing control method is disclosed. The method obtains an RGB color image and a depth image of stairs, extracts an outline of a target object of a target step on the stairs from the RGB color image, determines relative position information of the robot and the target step according to the depth image and the outline of the target object, and controls the robot to climb the target step according to the relative position information. The embodiment of the present disclosure allows the robot to effectively adjust postures and forward directions on any size of and non-standardized stairs and avoids the deviation of the walking direction, thereby improving the effectiveness and safety of the stair climbing of the robot.

    Robot control method, computer-readable storage medium and robot

    公开(公告)号:US11602848B2

    公开(公告)日:2023-03-14

    申请号:US17120229

    申请日:2020-12-13

    Abstract: A robot control method includes: obtaining force information associated with feet of the robot; calculating a zero moment point of a COM of a body of the robot based on the force information; updating a position trajectory of the robot according to the zero moment point of the COM of the body to obtain an updated position of the COM of the body; obtaining posture information of the robot; updating a posture trajectory of the robot according to the posture information to obtain an updated pose angle; performing inverse kinematics analysis on the updated position of the COM of the body and the updated pose angle to obtain joint angles of legs of the robot; and controlling the robot to move according to the joint angles.

    Map building method, computer-readable storage medium and robot

    公开(公告)号:US11593974B2

    公开(公告)日:2023-02-28

    申请号:US17075727

    申请日:2020-10-21

    Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

    MULTI-TARGET TRACKING METHOD, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220375106A1

    公开(公告)日:2022-11-24

    申请号:US17866574

    申请日:2022-07-18

    Abstract: A method includes: performing target detection on a current image to obtain detection information of a plurality of detected targets; obtaining position prediction information of each of a plurality of tracked targets and a number of times of tracking losses of targets from tracking information of each of the tracked targets, and determining a first matching threshold for each of the tracked targets according to the number of times of tracking losses of targets; calculating a motion matching degree between each of the tracked targets and each of the detected targets according to the position detection information and the position prediction information; for each of the tracked targets, obtaining a motion matching result according to the motion matching degree and the first matching threshold corresponding to the tracked target; and matching the detected targets and the tracked targets according to the motion matching results to obtain a tracking result.

    Localization method and helmet and computer readable storage medium using the same

    公开(公告)号:US11416719B2

    公开(公告)日:2022-08-16

    申请号:US17012016

    申请日:2020-09-03

    Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

    Robot control method and apparatus and robot using the same

    公开(公告)号:US11331806B2

    公开(公告)日:2022-05-17

    申请号:US16843921

    申请日:2020-04-09

    Abstract: The present disclosure discloses a robot control method as well as an apparatus, and a robot using the same. The method includes: obtaining a human pose image; obtaining pixel information of key points in the human pose image; obtaining three-dimensional positional information of key points of a human arm according to the pixel information of the preset key points; obtaining a robotic arm kinematics model of a robot; obtaining an angle of each joint in the robotic arm kinematics model according to the three-dimensional positional information of the key points of the human arm and the robotic arm kinematics model; and controlling an arm of the robot to perform a corresponding action according to the angle of each joint. The control method does not require a three-dimensional stereo camera to collect three-dimensional coordinates of a human body, which reduces the cost to a certain extent.

    Robot vision image feature extraction method and apparatus and robot using the same

    公开(公告)号:US11285613B2

    公开(公告)日:2022-03-29

    申请号:US16699132

    申请日:2019-11-29

    Abstract: The present disclosure provides a robot visual image feature extraction method as well as an apparatus and a robot using the same. The method includes: collecting image data through visual sensor(s) of the robot, and collecting angular velocity data through inertial sensor(s) of the robot; calculating a relative pose between image frames in the image data based on the angular velocity data; extracting feature points of the first image frame in the image data; calculating a projection position of each feature point of the k-th image frame in the k+1-th image frame based on a relative pose between the k-th image frame and the k+1-th image frame; and searching for each feature point in the projection position in the k+1-th image frame, and performing a synchronous positioning and a mapping based on the searched feature point. In this manner, the feature points of dynamic objects are eliminated.

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