Method for extracting image of face detection and device thereof

    公开(公告)号:US11475707B2

    公开(公告)日:2022-10-18

    申请号:US17134467

    申请日:2020-12-27

    Abstract: The present disclosure provides a method for extracting a face detection image, wherein the method includes: obtaining a plurality of image frames by an image detector, performing a face detection process on each image frame to extract a face area, performing a clarity analysis on the face area of each image frame to obtain a clarity degree of a face, conducting a posture analysis on the face area of each image frame to obtain a face posture angle, generating a comprehensive evaluation index for each image frame in accordance with the clarity degree of the face and the face posture angle of each image frame, and selecting a key frame from the image frames based on the comprehensive evaluation index. Such that the resource occupancy rate during image data processing may be reduced, and the quality of the face detection process may be improved.

    Robotic hand
    333.
    发明授权

    公开(公告)号:US11465298B2

    公开(公告)日:2022-10-11

    申请号:US16370891

    申请日:2019-03-30

    Abstract: A robotic hand includes a palm, a thumb and four fingers that are connected to the palm; a first driving assembly to drive the thumb to rotate, a second driving assembly and a third driving assembly to respectively drive two of the four fingers to rotate; and a fourth driving assembly to drive the other two of the four fingers to rotate. The first driving assembly, the second driving assembly, the third driving assembly, and the fourth driving assembly are received within the palm.

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

    公开(公告)号:US20220203522A1

    公开(公告)日:2022-06-30

    申请号:US17561629

    申请日:2021-12-23

    Abstract: A robot control method includes: determining a planned capture point and a measured capture point of the robot so as to calculate a capture point error of the robot; obtaining positions of a left foot and a right foot of the robot, and a planned zero moment point (ZMP) of the robot so as to calculate desired support forces of the left foot and the right foot; calculating desired torques of the left foot and the right foot according to the capture point error, the desired support forces of the left foot and the right foot; obtaining measured torques of the left foot and the right foot so as to calculate desired poses of the left foot and the right foot; and controlling the robot to walk according to the desired poses of the left foot and the desired pose of the right foot.

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

    公开(公告)号:US20220203521A1

    公开(公告)日:2022-06-30

    申请号:US17561609

    申请日:2021-12-23

    Abstract: A control method for a robot includes: determining a desired zero moment point (ZMP) of the robot; obtaining a position of a left foot and a position of a right foot of the robot, and calculating desired support forces of the left foot and the right foot according to the desired ZMP, the positions of the left foot and the right foot; obtaining measured support forces of the left foot and the right foot, and calculating an amount of change in length of the left leg and an amount of change in length of the right leg according to the desired support forces of the left foot and the right foot, the measured support forces of the left foot and the right foot; and controlling the robot to walk according to the amount of change in length of the left leg and the right leg.

    Method and appratus for face recognition and computer readable storage medium

    公开(公告)号:US11373443B2

    公开(公告)日:2022-06-28

    申请号:US17105667

    申请日:2020-11-27

    Abstract: The present disclosure provides a method and an apparatus for face recognition and a computer readable storage medium. The method includes: inputting a to-be-recognized blurry face image into a generator of a trained generative adversarial network to obtain a to-be-recognized clear face image; inputting the to-be-recognized clear face image to the feature extraction network to obtain a facial feature of the to-be-recognized clear face image; matching the facial feature of the to-be-recognized clear face image with each user facial feature in a preset facial feature database to determine the user facial feature best matching the to-be-recognized clear face image as a target user facial feature; and determining a user associated with the target user facial feature as a recognition result. Through this solution, the accuracy of the recognition of blurry faces can be improved.

    TOTAL CENTROID STATE ESTIMATION METHOD, HUMANOID ROBOT AND COMPUTER READABLE STORAGE MEDIUM USING THE SAME

    公开(公告)号:US20220193902A1

    公开(公告)日:2022-06-23

    申请号:US17485412

    申请日:2021-09-25

    Abstract: A total centroid state estimation method as well as a humanoid robot and a computer readable storage medium using the same are provided. The method includes: obtaining a motion state of each real joint of the humanoid robot and a motion state of its floating base, where the floating base is equivalent to a plurality of sequent-connected virtual joints; calculating a joint position, a centroid position, and a rotation matrix of each link in the world coordinate system in sequence using the chain rule of homogeneous multiplication according to the position of the joint corresponding to the link to solve a Jacobian matrix of the centroid of the link; solving a total centroid Jacobian matrix based on the Jacobian matrix of the centroid of each link and the total mass; and calculating the total centroid velocity based on the total centroid Jacobian matrix and other parameters.

    TARGET OBJECT DETECTION MODEL
    339.
    发明申请

    公开(公告)号:US20220156534A1

    公开(公告)日:2022-05-19

    申请号:US17389380

    申请日:2021-07-30

    Abstract: A target object detection model is provided. The target object detection model includes a YOLOv3-Tiny model. Through the target object detection model, low-level information in the YOLOv3-Tiny sub-model can be merged with high-level information therein, so as to fuse the low-level information and the high-level information. Since the low-level information can be further used, the comprehensiveness of target detection is effectively improved, and the detection effect of small targets is improved.

    Robot localization method and apparatus and robot using the same

    公开(公告)号:US11267130B2

    公开(公告)日:2022-03-08

    申请号:US16727948

    申请日:2019-12-27

    Abstract: The present disclosure relates to robot technology, and particularly to a robot localization method as well as an apparatus and a robot using the same. The method includes: obtaining a set of particles for localizing the robot; updating a position of each particle in the set of particles based on a preset motion model to obtain the updated position of the particle; obtaining laser measurement data and UWB measurement data; calculating a matching probability of each particle based on the laser measurement data, the UWB measurement data, and the updated position of the particle; and localizing the robot based on the matching probability of each particle. In such a manner, the UWB measurement data is applied to the traditional particle filtering localization algorithm based on laser measurement data so as to enhance the localization precision in large indoor scenes.

Patent Agency Ranking