BIPED ROBOT CONTROL METHOD AND BIPED ROBOT USING THE SAME AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220379480A1

    公开(公告)日:2022-12-01

    申请号:US17678037

    申请日:2022-02-23

    Abstract: A biped robot control methods and a biped robot using the same as well as a computer readable storage medium are provided. The method includes: obtaining an initial distance between a centroid of a double inverted pendulum model of the biped robot and a support point of the biped robot, an initial moving speed of the centroid and an initial displacement of the centroid; calculating a measured value of a stable point of the doable inverted pendulum model based on the initial distance and the initial moving speed; calculating a control output quantity based on the initial moving speed and the measured value of the stable point; calculating a desired displacement of the centroid of the double-inverted pendulum model based on the initial moving speed, the initial displacement, and the control output quantity; and controlling the biped robot to move laterally according to the desired displacement.

    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.

    DECOUPLING CONTROL METHOD FOR HUMANOID ROBOT, HUMANOID ROBOT AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220362929A1

    公开(公告)日:2022-11-17

    申请号:US17868790

    申请日:2022-07-20

    Abstract: A decoupling control method for a humanoid robot includes: decomposing tasks of the humanoid robot to obtain kinematic tasks and dynamic tasks, and classifying corresponding joints of the humanoid robot into kinematic task joints or dynamic task joints; solving desired positions and desired speeds of the kinematic task joints for performing the kinematic tasks according to desired positions and desired speeds of ends in the kinematic tasks using inverse kinematics; calculating torques of the kinematic task joints based on the desired positions and desired speeds of the kinematic task joints; and solving a pre-built optimization model of torques required for the dynamic task joints based on the calculated torques of the kinematic task joints, to obtain torques required by the dynamic task joints for performing the dynamic tasks.

    Sentence generation method, sentence generation apparatus, and smart device

    公开(公告)号:US11501082B2

    公开(公告)日:2022-11-15

    申请号:US16734389

    申请日:2020-01-05

    Abstract: The present disclosure provides a sentence generation method as well as a sentence generation apparatus and a smart device. The method includes: obtaining an input sentence; searching for structurally similar sentence(s) of each input sentence, where the structurally similar sentence(s) are structurally similar to the input sentence; finding semantically similar sentence(s) of the structurally similar sentence(s); parsing the input sentence and the structurally similar sentence(s) to obtain a subject block, a predicate block, and an object block to rewrite the semantically similar sentences to generate a new sentence; filtering the new sentence based on a preset filtering condition; and labeling the filtered new sentence as a semantically similar sentence of the input sentence. In this manner, a plurality of new sentences with different sentence patterns can be generated based on the same input sentence, which improves the controllability in generating the sentences and saves the labor cost therein.

    Robot pose determination method and apparatus and robot using the same

    公开(公告)号:US11498227B2

    公开(公告)日:2022-11-15

    申请号:US16709931

    申请日:2019-12-11

    Abstract: The present disclosure provides a robot pose determination method including: collecting laser frames; calculating a current pose of the robot in a map pointed by a first pointer based on the laser frames, and obtaining an amount of the laser frames having been inserted into the map pointed by the first pointer; inserting the laser frames into a map pointed by the first pointer, if less than a first threshold; inserting the laser frames into the map pointed by the first pointer and a map pointed by a second pointer, if greater than or equal to the first threshold and less than a second threshold; and pointing the first pointer to the map pointed by the second pointer, pointing the second pointer to a newly created empty map, and inserting the laser frames into the map pointed by the first pointer, if equal to the second threshold.

    METHOD FOR HUMAN-MACHINE DIALOGUE, COMPUTING DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220358297A1

    公开(公告)日:2022-11-10

    申请号:US17870813

    申请日:2022-07-21

    Inventor: Li Ma

    Abstract: A method includes: acquiring an input sentence in a first language in a current round of conversation; translating the input sentence in the first language to obtain an input sentence in a second language, according to dialogue contents in the first language and dialogue contents in the second language that have a mutual translation relationship with the dialogue contents in the first language in historical rounds of conversation; invoking a multi-round conversation generation model to parse the input sentence in the second language in the current round of conversation to generate an output sentence in the second language in the current round of conversation; translating the output sentence in the second language in the current round of conversation to obtain at least one candidate result in the first language; and determining an output sentence in the first language from the at least one candidate result in the first language.

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