Method, apparatus and terminal device for constructing parts together

    公开(公告)号:US11636779B2

    公开(公告)日:2023-04-25

    申请号:US16677698

    申请日:2019-11-08

    Abstract: The present disclosure is provides a method, an apparatus and a terminal device for constructing parts together. The method includes: determining an assembly progress of an object constructed of parts; determining a currently required part according to the assembly progress; identifying, in a part photo of the object, the currently required part using a pre-trained first neural network model and marking the one or more identified currently required parts in the part photo; and displaying, via a display, a 3D demonstration animation with the marked part photo as a background image. The method is based on the existing 3D demonstration animation, which identifies the currently required part in the captured part photo and marks the identified currently required part in the part photo, and then displays the marked part photo as the background image of the 3D demonstration animation, thereby adding a prompt for the real part.

    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.

    Corpus cleaning method and corpus entry system

    公开(公告)号:US11580299B2

    公开(公告)日:2023-02-14

    申请号:US16886826

    申请日:2020-05-29

    Inventor: Li Ma Youjun Xiong

    Abstract: The present disclosure provides a corpus cleaning method and a corpus entry system. The method includes: obtaining an input utterance; generating a predicted value of an information amount of each word in the input utterance according to the context of the input utterance using a pre-trained general model; and determining redundant words according to the predicted value of the information amount of each word, and determining whether to remove the redundant words from the input utterance. In such a manner, the objectivity and accuracy of corpus cleaning can be improved.

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