公开(公告)号：US20200241112A1

公开(公告)日：2020-07-30

申请号：US16699765

申请日：2019-12-02

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： ZHICHAO LIU ,  Jian Zhang ,  Youjun Xiong ,  Jianxin Pang

IPC: G01S7/48 ,  G06K9/62 ,  G01S17/931

Abstract: The present disclosure provides a localization method as well as a robot using the same. The method includes: obtaining laser scan points and particles; mapping each of the laser scan points to a global coordinate system based on each of the particles to obtain global boundary points of each of the particles; finding a matching boundary point in the global boundary points by comparing the global boundary points of the particle with points corresponding to static objects in a known map; calculating a distance between the matching boundary point of the particle and the points corresponding to the static objects, and increasing a weight of the matching boundary point if the distance is less than a preset threshold; calculating a weight of the particle by matching the global boundary points of the particle with the known map; and estimating a localization result.

公开(公告)号：US20200209880A1

公开(公告)日：2020-07-02

申请号：US16427362

申请日：2019-05-31

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Longbiao Bai ,  Youjun Xiong ,  Zhichao Liu ,  Hongjian Liu ,  Zhanjia Bi ,  Jianxin Pang

IPC: G05D1/02 ,  G06T7/70 ,  G06T7/20

Abstract: The present disclosure provides an obstacle detection method as well as an apparatus and a robot using the same. The method includes: obtaining, through the sensor module, image(s); detecting an obstacle in of an obstacle from the image(s) according to characteristic(s) of the obstacle; extracting image feature(s) of the obstacle; obtaining, through the sensor module, a position of the obstacle; associating the image feature(s) of the obstacle with the position of the obstacle; calculating a motion state a the obstacle based on the position information of the obstacle at different moments; and estimating the position of the obstacle in a detection blind zone of the robot based on the motion state. In such a manner, it is capable of providing more accurate position information of the obstacle in the detection blind zone, which is beneficial to the robot to plan a safe and fast moving path.

公开(公告)号：US20200209876A1

公开(公告)日：2020-07-02

申请号：US16396783

申请日：2019-04-29

Applicant: UBTECH ROBOTICS CORP LTD.

Inventor： Yongsheng Zhao ,  Youjun Xiong ,  Longbiao Bai ,  Jianxin Pang

IPC: G05D1/02 ,  B25J9/00 ,  B25J9/16

Abstract: The present disclosure provides a positioning method and an apparatus with the same. The method includes: obtaining, by die sensor set, current track node information of a current track node of a map on which the to-be-positioned device is located, where the current track node information includes a color of the current track node; and determining position information of the to-be-positioned device based on the track node information. In the above manner, the positioning of the to-be-positioned device in a specific map can be realized.

公开(公告)号：US20200206955A1

公开(公告)日：2020-07-02

申请号：US16370891

申请日：2019-03-30

Applicant: UBTECH Robotics Corp

Inventor： Sicong Liu ,  Youjun Xiong ,  Hongyu Ding ,  Qidong Xu ,  Jianxin Pang

IPC: B25J15/10 ,  B25J9/10

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.

公开(公告)号：US20200156721A1

公开(公告)日：2020-05-21

申请号：US16452532

申请日：2019-06-26

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： YOUJUN XIONG ,  Chunyu Chen ,  Yizhang Liu ,  Ligang Ge ,  Jianxin Pang

IPC: B62D57/032

Abstract: The present disclosure provides a robot gait planning method and a robot with the same. The method includes: obtaining, through the sensor set, force information of feel of the robot under a force applied by a target object; calculating coordinates of zero moment points of the feet of the robot with respect to a centroid of a body of the robot based on the force information; and determining a gait planning result for the robot based on the coordinates of the zero moment points with respect to the centroid of the body. The present disclosure is capable of converting the force of the target object to the zero moment points, and using the zero moment points to perform the gait planning, so that the robot follows the target object in the case that the robot is subjected to a force of the target object.

公开(公告)号：US10447992B1

公开(公告)日：2019-10-15

申请号：US16104143

申请日：2018-08-17

Applicant: UBTECH Robotics Corp

Inventor： Youjun Xiong ,  Cihui Pan ,  Shengqi Tan ,  Xianji Wang ,  Jianxin Pang

IPC: H04N13/221 ,  G06T1/00 ,  H04N13/296 ,  G06T7/174 ,  H04N13/00

Abstract: The present disclosure discloses a method and a system for image processing. The method includes: obtaining images of a target environment captured by a robot in a preset movement trajectory according to a predefined condition; combining every two of the images having a same region into a corresponding image pair based on an initial position estimation of each of the images; producing an image seed based on the image pair; performing position optimization on the image seed; producing an image subset based on the image seed after the position optimization; and performing position optimization on the image subset based on the image seeds in the image subset. It can effectively reduce the computational complexity of image matching, reduce the calculation time, and improve the accuracy of image processing.

公开(公告)号：US12243242B2

公开(公告)日：2025-03-04

申请号：US17866574

申请日：2022-07-18

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Shuping Hu ,  Jun Cheng ,  Jingtao Zhang ,  Miaochen Guo ,  Dong Wang ,  Zaiwang Gu ,  Jianxin Pang

IPC: G06T7/246 ,  G06T7/70 ,  G06T7/73

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.

公开(公告)号：US12080098B2

公开(公告)日：2024-09-03

申请号：US17562963

申请日：2021-12-27

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Yusheng Zeng ,  Jun Cheng ,  Jianxin Pang

IPC: G06V40/16 ,  G06T7/73

CPC classification number: G06V40/171 ,  G06T7/73 ,  G06V40/166

Abstract: A method for training a multi-task recognition model includes: obtaining a number of sample images, wherein some of the sample images are to provide feature-independent facial attributes, some of the sample images are to provide feature-coupled facial attributes, and some of the sample images are to provide facial attributes of face poses; training an initial feature-sharing model based on a first set of sample images to obtain a first feature-sharing model; training the first feature-sharing model based on the first set of sample images and a second set of sample images to obtain a second feature-sharing model with a loss value less than a preset second threshold; obtaining an initial multi-task recognition model by adding a feature decoupling model to the second feature-sharing model; and training the initial multi-task recognition model based on the sample images to obtain a trained multi-task recognition model.

公开(公告)号：US11941844B2

公开(公告)日：2024-03-26

申请号：US17403902

申请日：2021-08-17

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Yepeng Liu ,  Yusheng Zeng ,  Jun Cheng ,  Jing Gu ,  Yue Wang ,  Jianxin Pang

IPC: G06T7/73 ,  G06N3/04 ,  G06V40/16

CPC classification number: G06T7/74 ,  G06N3/04 ,  G06T7/75 ,  G06V40/164 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: An object detection model generation method as well as an electronic device and a computer readable storage medium using the same are provided. The method includes: during the iterative training of the to-be-trained object detection model, the detection accuracy of the iteration nodes of the object detection model is sequentially determined according to the node order, and the mis-detected negative samples of the object detection model at the iteration nodes with the detection accuracy less than or equal to a preset threshold are enhanced. Then the object detection model is trained at the iteration node based on the enhanced negative samples and a first amount of preset training samples. After the training at the iteration nodes are completed, it returns to the step of sequentially determining the detection accuracy of the iteration nodes of the object detection model until the training of the object detection model is completed.

公开(公告)号：US11833692B2

公开(公告)日：2023-12-05

申请号：US17115712

申请日：2020-12-08

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Dake Zheng ,  Yizhang Liu ,  Zheng Xie ,  Jianxin Pang ,  Youjun Xiong

IPC: B25J9/16 ,  G05B19/4155 ,  B25J13/08

CPC classification number: B25J9/1666 ,  B25J9/1605 ,  B25J9/1643 ,  G05B19/4155 ,  B25J13/08 ,  G05B2219/40269

Abstract: The present disclosure provides a method for controlling an arm of a robot, including obtaining obstacle information relating to the arm of the robot by at least one sensor, obtaining current posture information of the arm of the robot by a least one detector and obtaining an expected posture information of an end-portion of the arm of the robot, determining an expected trajectory of the end-portion of the arm of the robot, determining an expected speed of the end-portion of the arm of the robot in accordance with the expected trajectory of the end-portion, determining a virtual speed of a target point on the arm of the robot, and configuring a target join speed corresponding to a joint of the arm of the robot. Such that the redundant arm of the robot may be configured to prevent from contacting the obstacles in the complex environment while performing corresponding tasks.