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    SOUND SOURCE LOCALIZATION METHOD, ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM
    107.
    发明申请
    SOUND SOURCE LOCALIZATION METHOD, ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM 有权

    公开(公告)号：US20250133337A1

    公开(公告)日：2025-04-24

    申请号：US18911197

    申请日：2024-10-09

    Applicant: UBTECH ROBOTICS CORP LTD

    Inventor： ZEHONG ZHENG ,  Dongyan Huang ,  Xianjie Yang ,  Wan Ding

    IPC: H04R1/40

    Abstract: A sound source localization method includes: obtaining a first audio frame and at least two second audio frames, wherein the first audio frame and the at least two second audio frames are synchronously sampled, the first audio frame is obtained by processing sound signals collected by the first microphone, the at least two second audio frames are obtained by processing sound signals collected by the second microphones; calculating a time delay estimation between the first audio frame and each of the at least two second audio frames; and determining a sound source orientation corresponding to the first audio frame and the at least two second audio frames through a preset time delay-orientation lookup table according to the time delay estimation between the first audio frame and each of the at least two second audio frames.

    Biped robot control method and biped robot using the same and computer readable storage medium
    108.
    发明授权
    Biped robot control method and biped robot using the same and computer readable storage medium 有权

    公开(公告)号：US12280510B2

    公开(公告)日：2025-04-22

    申请号：US17678037

    申请日：2022-02-23

    Applicant: UBTECH ROBOTICS CORP LTD

    Inventor： Chunyu Chen ,  Youjun Xiong ,  Yizhang Liu ,  Qiuyue Luo ,  Ligang Ge ,  Jie Bai ,  Jiangchen Zhou

    IPC: B62D57/00 ,  B25J9/16 ,  B62D57/032

    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.

    IMAGE QUALITY ASSESSMENT METHOD, AND ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM
    109.
    发明申请
    IMAGE QUALITY ASSESSMENT METHOD, AND ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM 有权

    公开(公告)号：US20250124557A1

    公开(公告)日：2025-04-17

    申请号：US18805567

    申请日：2024-08-15

    Applicant: UBTECH ROBOTICS CORP LTD

    Inventor： XILAI SONG ,  Pei Dong ,  Jianxin Pang

    IPC: G06T7/00 ,  G06T5/40

    Abstract: An image quality assessing method, an electronic device, and a computer-readable storage medium are provided. The method includes: obtaining a to-be-assessed original image; obtaining a grayscale image and a histogram equalization image corresponding to the obtained original image by performing an image conversion on the original image; calculating an image similarity between the obtained grayscale image and the obtained histogram equalization image; and determining an image quality assessment result of the original image according to the calculated image similarity. Through the forgoing method, the original image can be converted to obtain the corresponding grayscale image and histogram equalization image, and the image quality assessment result of the original image can be determined according to the image similarity between the grayscale image and the histogram equalization image, which does not involve statistics and calculations of multiple feature indicators, and is helpful to improve the efficiency of the image quality assessment method.

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