Ubtech Robotics Corp Ltd

Other

Ubkang (qingdao) Technology Co., Ltd.

Chunyu Chen

Ligang Ge

Yizhang Liu

Youjun Xiong

Zheng Xie

Jiangchen Zhou

Jie Bai

Qiuyue Luo

Jianxin Pang

Hongge Wang

Xingxing Ma

Xuan Luo

Meng Yan

Zhihao Zhang

Xianwen Zeng

Meihui Zhang

Yizhang Lìu

Zhaohui An

Shuo Zhang

Mingqiang Huang

Jinghua Tang

Xianxu Li

Yizhang Líu

Zhengjun Qiu

Xianwei Su

A robot step control method, a robot control apparatus, and a storage medium are provided. The method includes: determining an expected support force of two legs of a biped robot according to zero-moment point planning data and actual position data of the two legs at a current moment, and determining a current desired joint posture angle of ankle joints of the two legs and a desired joint position matching an actual leg support state using a compliance control algorithm based on an expected support force of the two legs, and centroid movement planning data, centroid actual movement data, step planning data and actual force data of the two legs at the current moment. In such manner, all-direction compliant controls can be performed on a desired leg pose condition according to the actual motion status of the biped robot, thereby improving the walking stability and terrain adaptability of the biped robot.

Robot step control method, robot control apparatus, 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 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 gait planning method for a robot includes: constructing a first phase variable of a gait planning of the robot, wherein the first phase variable is a function of two position components of a torso of the robot on a horizontal plane; constructing a second phase variable based on the first phase variable, wherein the second phase variable is a function of the first phase variable, and a slope of the second phase variable is smaller than a slope of the first phase variable when a foot of a swing leg of the robot starts to touch a support surface; and performing the gait planning on the foot of the swing leg using the second phase variable to obtain a planned trajectory of the foot of the swing leg.

Gait planning method, 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 method for controlling gait of a biped robot includes: collecting a lateral center of mass (CoM) speed and a lateral CoM position of the biped robot when the biped robot walks in place; calculating phase variables of virtual constraints corresponding to the CoM of the biped robot in a first phase and a second phase according to the lateral CoM speed and the lateral CoM position; constructing motion trajectory calculation equations for the biped robot based on the phase variables corresponding to the first phase and the second phase, respectively; and finding inverse solutions for joints of the biped robot using the motion trajectory calculation equations to obtain joint angles corresponding to each of the joints of the biped robot to realize gait control.

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

A method for controlling a legged robot includes: in response to detection of a collision event associated with a foot of a swing leg of the biped robot, terminating a trajectory component planning of the swing leg in a collision direction; calculating a position offset in the collision direction according to an external force that is received by the foot of the swing leg in the collision direction and obtained in real time, based on a foot dragging control mode, and determining a replanned trajectory component in the collision direction based on the position offset; and controlling the swing leg to move based on the replanned trajectory component in the collision direction and a desired trajectory component of the swing leg in a non-collision direction.

Method for controlling legged robot, robot and computer-readable storage medium

A stepping down trajectory planning method as well as a robot using the same and a computer readable storage medium are provided. The method includes: dividing a stepping down process of the robot into a plurality of planned stages; adjusting a start position of a swing leg of the robot according to an ankle-to-heel distance, where the ankle-to-heel distance is a horizontal distance between an ankle joint of the swing leg of the robot and a heel of the swing leg of the robot; determining an initial state and an end state of the swing leg in each of the planned stages according to the start position; and obtaining a planned trajectory of the swing leg by performing a curve fitting on the swing leg in each of the planned stages the initial state and the end state.

Stepping down trajectory planning method, robot using the same, and computer readable storage medium

A robot obstacle avoidance method, a robot controller using the same, and a storage medium are provided. The method includes: determining an influence value of an obstacle on a motion range of a joint of the robot according to a position of the obstacle in a workspace of the robot; establishing a state transition relationship of the robot by taking a joint velocity of the robot as a control target and a joint angular velocity of the robot as a control input quantity; and avoiding the robot from colliding with the obstacle during a movement process of the robot by performing a model predictive control on the robot according to the state transition relationship and the influence value. In the present disclosure, the influence of the obstacle on the motion range of the joint of the robot is fully considered.

Robot obstacle avoidance method, computer readable storage medium, and robot

A path planning method and a biped robot using the same are provided. The method includes: generating a candidate node set for a next foot placement based on a biped robot's own parameters and joint information of a current node, adding valid candidate nodes in the candidate node set to a priority queue so as to select optimal nodes for realizing next node expansion. These optimal nodes are output to generate a foot placement sequence from an initial node to a target node, which can greatly reduce the search amount for path nodes when the robot's legs intersect and touch the ground, thereby improving the efficiency of path planning.

Path planning method and biped robot using the same

A method for generating a center of mass (CoM) trajectory includes determining an actual pose of a center of mass (CoM), a pose of a left foot, and a pose of a right pose of a robot; determining a first pose tracking vector of the robot according to the actual pose of the CoM and the pose of the left foot, and determining a second pose tracking vector of the robot according to the actual pose of the CoM and the pose of the right foot; and controlling a desired pose of the CoM of the robot to alternately track the pose of the left foot and the pose of the right foot, according to the first pose tracking vector and the second pose tracking vector, so as to generate a desired CoM trajectory of the robot.

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Shenzhen, China

Chunyu Chen