Ubtech Robotics Corp Ltd

Ubtech North America Research and Development Center Corp

Ubkang (qingdao) Technology Co., Ltd.

Ubertech Robotics Corp.

Ubtech Education (shenzhen) Co., Ltd

2021a351us1

Youjun Xiong

Jianxin Pang

Yizhang Liu

Ligang Ge

Chunyu Chen

Wenhua Fan

Hongyu Ding

Zheng Xie

Zhichao Liu

Lifu Zhang

Mingguo Zhao

Youpeng Li

Wenhua Yu

Gaobo Huang

Jie Bai

Wenquan Shu

Jiawen Hu

Musen Zhang

Qi Zhao

Xinpu Chen

Kunlei Zhao

Yuesong Wang

Libing Zhou

Yongsheng Zhao

Huan Tan

Dong Liu

Chengkun Zhang

Jiangchen Zhou

Xiangbin Huang

Meichun Liu

Hailang Zhou

Lefeng Liu

Hongge Wang

Xi Bai

Hanyu Sun

Zhongliang Wang

Jun Cheng

Qiuyue Luo

Dongyan Huang

Liqun Huang

Chenchen Jiang

Xiaoyu Ren

Jian Zhang

Miaochen Guo

Defu Liu

Shuping Hu

Peng Nie

Zhanjia Bi

Malin Wang

Jingtao Zhang

Zuyi Mao

Zhaohui An

Lin Chen

Dong Wang

Rui Guo

Xinshui Huang

Yong Fu

Gao Yang

Xuchao Du

Liang Huang

Wei He

Yumiao Wu

Xiongyuan Fang

Feng Hu

Sheng Zhou

Yusheng Zeng

Xingxing Ma

Yang Liu

Jiebin Xie

Francisco Jose Hernandez

Yu Tang

Xuan Luo

Brandon Jon LaPlante

Shixun Chen

Li Ma

Jing Shi

Yu Zhang

Jian Wang

Dingkai Xing

Hao Dong

Jianbo Li

Yiping Li

Jian Tong Li

Yang Wang

Jing Yang

Jing Gu

Xiang Liu

Yan Zhou

Yun Zhao

Yue Wang

Wei Fang

Xue Yang

Tao Bai

Jian Zhou

Xian Li

Zhihua Zhang

Kang Li

Tao Xu

Bin He

Jinliang Chen

A dynamic target tracking method for a robot having multiple joints includes: obtaining a motion state of a tracked dynamic target in real time; performing motion prediction according to the motion state at a current moment to obtain a predicted position of the dynamic target; performing lag compensation on the predicted position to obtain a compensated predicted position; performing on-line trajectory planning according to the compensated predicted position to obtain planning quantities of multi-step joint motion states at multiple future moments, and determining a multi-step optimization trajectory according to the planning quantities and a multi-step optimization objective function; and controlling the joints of the robot to according to the multi-step optimization trajectory.

Dynamic target tracking method, robot and computer-readable storage medium

A footstep planning method includes: obtaining a number of depth images of an environment in a walking direction of a legged robot; creating a three-dimensional model of the environment based on the depth images; determining at least one even region from the three-dimensional model of the environment; and selecting one or more of the at least one even region as one or more candidate footstep locations for the legged robot to step on.

Footstep planning method, robot and computer-readable storage medium

A motion terrain determining method, a robot, and a computer-readable storage medium are provided. The method includes: determining each sine parameter and each cosine parameter corresponding to a target joint in a plurality of joints of the robot according to one or more constraint conditions; determining a motion trajectory of the robot according to the sine parameter and the cosine parameter corresponding to the target joint; and determining a motion terrain of the robot according to the motion trajectory. In this manner, the best motion terrain can be obtained, and the robot is controlled to move on the determined motion terrain when determining the dynamics parameters of the robot, where the obtained dynamics parameters are more accurate to effectively improve the efficiency of the identification of the dynamics parameters.

Motion terrain determining method, robot, and computer-readable storage medium

A navigation method for a disinfection robot includes: obtaining an initial map within a field of view of the robot; generating a disinfection grid having multiple disinfection squares on the initial map, and determining multiple disinfecting consideration points in the disinfection squares; determining a disinfection order of disinfecting targets corresponding to the disinfection squares according to distances between the robot after the robot completes disinfection of one of the targets corresponding to one of the disinfection squares and to-be-disinfected ones of the disinfection squares; according to distances between the position and the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, combined with priority levels of the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, determining disinfecting planning points in the disinfection squares; and performing disinfection to the targets corresponding to the disinfection squares according to the disinfection order and the disinfecting planning points.

Navigation method for disinfection robot, robot and computer-readable storage medium

A robot state estimation method, a computer-readable storage medium, and a legged robot are provided. The method includes: obtaining force information of a left leg of a robot and a right leg of the robot; calculating a ZMP of the robot in a world coordinate system based on the force information of the left leg and the force information of the right leg; and calculating a position of a center of mass (CoM) of the robot based on a preset linear inverted pendulum model. In this manner, a brand-new linear inverted pendulum model is constructed in advance, which uses the ZMP of the robot as a supporting point of the model, thereby fully considering the influence of the change of the position of the ZMP of the robot on the position of the CoM.

Robot state estimation method, computer-readable storage medium, and legged robot

A method for navigating a robot through a limited space includes: obtaining a planned first path for the robot to reach a target position; calculating curvature and/or normal vectors of points in the first path; according to the curvature and a preset curvature threshold, and/or according to the normal vectors and a preset normal vector change threshold, obtaining a first straight path for the robot outside the limited space by curve fitting; determining an intersection of a centerline of the limited space and the first straight path, and determining a second straight path for the robot to move through the limited space according to the centerline and the intersection; and generating a second path for the robot to move through the limited space based on the first straight path and the second straight path, and navigating the robot to move through the limited space according to the second path.

Method for navigating root through limited space, robot and computer-readable storage medium

A walking control method for a biped robot includes: detecting whether the biped robot is in an unbalanced state; in response to detection that the biped robot is in the unbalanced state, obtaining a predicted balance step length corresponding to the biped robot in the unbalanced state; performing a smooth transition processing on the predicted balance step length according to a current movement step length of the biped robot to obtain a desired balance step length corresponding to the predicted balance step length; determining a planned leg trajectory of the biped robot according to the desired balance step length; and controlling a current swing leg of the biped robot to move according to the planned leg trajectory.

Walking control method, biped robot and computer-readable storage medium

A trajectory planning method, a computer-readable storage medium, and a robot are provided. The method includes: constructing a phase variable of a trajectory planning of a robot, where the phase variable is a function of two position components of a torso of the robot on a horizontal plane; and performing, using the phase variable replacing a time variable, the trajectory planning on a swinging leg of the robot in each preset coordinate axis direction. In this manner, the robot can no longer continue to follow the established trajectory after being disturbed by the environment, but make state adjustments according to the disturbance received to offset the impact of the disturbance, thereby maintaining walking stability and avoiding the problem of early or late landing of the swinging leg.

Trajectory planning method, computer-readable storage medium, and robot

A method for estimating a pose of a humanoid robot includes: processing obtained pose parameters of a waist of the humanoid robot and plantar motion parameters of the humanoid robot to obtain the measured pose parameters of a center point of the waist of the humanoid robot; calculating predicted pose parameters of the center point of the waist according to the obtained pose parameters of the waist; and fusing the measured pose parameters and the predicted pose parameters to obtain estimated pose parameters of the center point of the waist.

Method for estimating pose of humanoid robot, humanoid robot and computer-readable storage medium

A robot control method, a computer-readable storage medium, and a robot are provided. The method includes: obtaining first motion data, where the first motion data is human arm end motion data collected by a virtual reality device; obtaining second motion data by mapping the first motion data to a working space of an end of a robotic arm of the robot; obtaining a state of each joint of the robotic arm of the robot, and obtaining control data of the joint by performing a quadratic programming solving on the second motion data and the state of the joint; and controlling, by a motion controller of the robot, the robotic arm of the robot to move according to the obtained control data of each joint of the robot by transmitting the control data of the joint to the motion controller, so that the control method is relatively more natural, intuitive, and flexible.

Robot control method, computer-readable storage medium, and robot

A method of controlling a robot includes: obtaining an inertia matrix and a slack variable of the robot, and determining a momentum equation of the robot according to the inertia matrix and the slack variable; obtaining reference joint angles corresponding to a reference action of the robot; determining an optimization objective function of the momentum equation according to a first preset weight coefficient of the slack variable and a second preset weight coefficient of the reference joint angles; and determining joint angles of the robot according to the optimization objective function, and driving the robot to move according to the joint angles of the robot.

Robot control method, robot and computer-readable storage medium

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.

Biped robot control method and biped robot using the same and computer readable storage medium

A robot stability control method includes: obtaining a desired zero moment point (ZMP) and a fed-back actual ZMP of a robot at a current moment; based on a ZMP tracking control model, the desired ZMP and the actual ZMP, calculating a desired value of a motion state of a center of mass of the robot at the current moment, wherein the desired value of the motion state of the center of mass comprises a correction amount of the position of the center of mass; based on a spring-mass-damping-acceleration model and the desired value of the motion state of the center of mass, calculating a lead control input amount for the correction amount of the position of the center of mass; and controlling motion of the robot according to the lead control input amount and a planned value of the position of the center of mass at the current moment.

Robot stability control method, robot and computer-readable storage medium

A jumping motion control method for a biped robot includes: before feet of the biped robot leaves a support surface, estimating a motion trajectory of the biped robot that leaves the support surface according to a period of time when the biped robot stays or flips in the air; calculating a first motion angle of each joint of legs of the biped robot according to the motion trajectory and inverse kinematics; determining a constraint condition according to a motion type to which an action to be performed by the biped robot corresponds; optimizing the first motion angles according to the constraint condition to obtain a second motion angle of each joint of legs of the biped robot; and controlling a jumping motion of the biped robot according to the second motion angles.

Jumping motion control method for biped robot, biped robot and computer-readable storage medium

A robot control method, a robot, and a computer-readable storage medium are provided. The method includes: obtaining a linear motion model of a robot; determining a predicted state corresponding to each moment in a preset time period based on the linear motion model; determining an expected state corresponding to each moment in the preset time period; and determining a compensation value of a velocity of joint(s) at each moment from k-th moment to k+N−1-th moment based on the predicted state corresponding to each moment in the preset time period and the expected state corresponding to each moment in the preset time period, determining instruction parameter(s) at the k-th moment based on the compensation value of the velocity of the joint(s) at the k-th moment, and adjusting a position of each of the joint(s) of the robot according to the instruction parameter(s) at the k-th moment.

Robot control method, robot, and computer-readable storage medium

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Shenzhen, China

Youjun Xiong