Abstract: A humanoid robot and its balance control method and computer readable storage medium are provided. Expected accelerations of each of a sole and centroid of a humanoid robot corresponding to a current expected balance trajectory and an expected angular acceleration of the waist corresponding to the current expected balance trajectory are obtained based on current motion data of the sole, the centroid, and the waist, respectively first, then an expected angular acceleration of each joint meeting control requirements of the sole, the centroid, and the waist while the robot corresponds to the current expected balance trajectory is calculated based on an angular velocity of the joint, the expected accelerations of the waist, the sole, and the centroid, respectively, and then each joint of the robot is controlled to move at the obtained expected angular acceleration of the joint based on the angular displacement of the joint.

Abstract: The present disclosure provides a method for controlling end-portions of a robot. The method includes obtaining joint information of a robot by at least one sensor and determining a first posture of an end-portion of the robot in accordance with the joint information, obtaining end-portion information of the robot by the sensor and obtaining the second posture of the end-portion of the robot including the interference information in accordance with the end-portion information of the robot and the first posture of the end-portion of the robot, and conducting a closed-loop control on the robot in accordance with an error between the second posture of the end-portion of the robot and a predetermined expected posture of the end-portion of the robot.

Abstract: A robot climbing control method is disclosed. A gravity direction vector in a gravity direction in a camera coordinate system of a robot is obtained. A stair edge of stairs in a scene image is obtained and an edge direction vector of the stair edge in the camera coordinate system is determined. A position parameter of the robot relative to the stairs is determined according to the gravity direction vector and the edge direction vector. Poses of the robot are adjusted according to the position parameter to control the robot to climb the stairs.

Abstract: 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.

Abstract: A robotic finger structure includes a proximal phalanx; a middle phalanx rotatably connected to one end of the proximal phalanx; a distal phalanx rotatably connected to one end of the middle phalanx and defining a distal phalanx opening in a front side thereof and at one end adjacent to the middle phalanx; a connecting rod having opposite ends that are rotatably connected to the proximal phalanx and the distal phalanx, and an actuating assembly to drive the middle phalanx to rotate with respect to the proximal phalanx. The connecting rod includes a first angled segment having a first recess facing a back side of the middle phalanx. When the distal phalanx is flush with the middle phalanx, the first angled segment passes through the distal phalanx opening, and a first end of the distal phalanx opening extends into the first recess.

Abstract: A method for controlling a robot comprising an end effector includes: establishing at steady state between the end effector and a working surface through a preset impedance control mechanism, and adjusting a contact force between the end effector and the working surface according to a preset desired force; obtaining a contact torque generated by the contact force; controlling the end effector to rotate according to the contact torque until a pose of the end effector is consistent with a pose of the working surface; and controlling the end effector to move tangentially along the working surface.

Abstract: The present disclosure is provides a method, an apparatus and a terminal device for constructing parts together. The method includes: determining an assembly progress of an object constructed of parts; determining a currently required part according to the assembly progress; identifying, in a part photo of the object, the currently required part using a pre-trained first neural network model and marking the one or more identified currently required parts in the part photo; and displaying, via a display, a 3D demonstration animation with the marked part photo as a background image. The method is based on the existing 3D demonstration animation, which identifies the currently required part in the captured part photo and marks the identified currently required part in the part photo, and then displays the marked part photo as the background image of the 3D demonstration animation, thereby adding a prompt for the real part.

Abstract: The present disclosure discloses a navigation map updating method as well as an apparatus, and a robot using the same. The method includes: controlling a robot to move along a designated path after a successful relocalization of the robot, and recording key frame data of each frame on the designated path and a corresponding pose; creating a new navigation map, and copying information in an original navigation map into the new navigation map; and covering the key frame data of each frame on the designated path onto the new navigation map to obtain an updated navigation map. In this manner, there is no need for the user to manipulate the robot to recreate the map at the environment where the robot is operated, which saves a lot of time and manpower.

Abstract: A robot climbing control method is disclosed. The method obtains an RGB color image and a depth image of stairs, extracts an outline of a target object of a target step on the stairs from the RGB color image, determines relative position information of the robot and the target step according to the depth image and the outline of the target object, and controls the robot to climb the target step according to the relative position information. The embodiment of the present disclosure allows the robot to effectively adjust postures and forward directions on any size of and non-standardized stairs and avoids the deviation of the walking direction, thereby improving the effectiveness and safety of the stair climbing of the robot.

Abstract: An elevation device includes a mounting frame, a rotary actuator fixed to the mounting frame, a shaft connected to the rotary actuator and rotatable with respect to the mounting frame, a drive bar slidably connected to the mounting frame, and a connecting member fixed to the shaft. The shaft defines a helical groove in a lateral surface thereof. The drive bar includes a post that is movably fit in the helical groove. The mounting frame, the shaft and the drive bar constitute a conversion mechanism that converts rotation of the shaft into linear motion of the drive bar. The drive bar is slidable with respect to the mounting frame along a direction that is parallel to an axis of rotation of the shaft.

Abstract: A robot joint includes a casing, a motor assembly including a stator and a rotor that are arranged within the casing, and a harmonic drive received, at least in part, in the rotor. The harmonic drive includes a circular spline, a wave generator fixed to the rotor, and a flex spline. The circular spline is arranged around and engaged with the flex spline. The wave generator is received in the flex spline and configured to drive the flex spline to rotate with respect to the circular spline. The robot joint further includes an output shaft fixed to the flex spline.

Abstract: A joint acceleration planning method, a redundant robot using the same, and a computer readable storage medium are provided.

Abstract: A robot balance control method includes: obtaining force information associated with a left foot and a right foot of the robot; calculating a zero moment point of a center of mass (COM) of a body of the robot based on the force information; calculating a first position offset and a second position offset of the robot according to the zero moment point of the COM of the body; updating a position trajectory of the robot according to the first position offset and the second offset to obtain an updated position of the COM of the body; performing inverse kinematics analysis on the updated position of the COM of the body to obtain joint angles of the left leg and the right leg of the robot; and controlling the robot to move according to the joint angles.

Abstract: A robot control method includes: obtaining force information associated with feet of the robot; calculating a zero moment point of a COM of a body of the robot based on the force information; updating a position trajectory of the robot according to the zero moment point of the COM of the body to obtain an updated position of the COM of the body; obtaining posture information of the robot; updating a posture trajectory of the robot according to the posture information to obtain an updated pose angle; performing inverse kinematics analysis on the updated position of the COM of the body and the updated pose angle to obtain joint angles of legs of the robot; and controlling the robot to move according to the joint angles.

Abstract: A task hierarchical control method as well as a robot and a storage medium using the same are provided. The method includes: obtaining a task instruction for a robot, where the task instruction is for determining a target task card including an amount of selection matrices for dividing a target task into the amount of hierarchical subtasks and a controller name for executing each of the hierarchical subtasks; obtaining a null space projection matrix of each of the hierarchical subtasks based on the corresponding selection matrix; generating control finks of the amount according to the corresponding controller of each of the hierarchical subtasks and the corresponding null space projection matrix; calculating a control torque of each of the control links and obtaining a hierarchical control output quantity by adding ail the control torques; and controlling the robot to perform the target task using the hierarchical control output quantity.

Abstract: A thumb structure includes a proximal phalanx, a distal phalanx rotatably connected to one end of the proximal phalanx, a fixing member connected to the proximal phalanx through a first ball joint, a linking member having opposite ends that are connected to the distal phalanx and the fixing member through a second ball joint and a third ball joint, a first actuating assembly to drive the proximal phalanx to swing in a direction of a first degree of freedom, and a second actuating assembly to drive the proximal phalanx to swing in a direction of a second degree of freedom.

Abstract: The present disclosure provides a foot-waist coordinated gait planning method and an apparatus and a robot using the same. The method includes: obtaining an orientation of each foot of the legged robot, and calculating a positional compensation amount of each ankle of the legged robot based on the orientation of the foot; obtaining an orientation of a waist of the legged robot, and calculating a positional compensation amount of each hip of the legged robot based on the orientation of the waist; calculating a hip-ankle positional vector of the legged robot; compensating the hip-ankle positional vector based on the positional compensation amount of the ankle and the positional compensation amount of the hip to obtain the compensated hip-ankle positional vector; and performing an inverse kinematics analysis on the compensated hip-ankle positional vector to obtain joint angles of the legged robot.

Abstract: A gait planning method includes: performing a gait planning in each center of mass (CoM) timing period of the robot based on a variable-height linear inverted pendulum model, which includes: acquiring a first step length and a second step length at a beginning of each CoM timing period; calculating a first height reduction amplitude and a first fluctuation amplitude of the CoM of the robot according to the first step length; calculating a second height reduction amplitude and a second fluctuation amplitude of the CoM of the robot according to the second step length; and performing a planning to the height of the CoM of the robot in the current CoM timing period, based on the first height reduction amplitude, the first fluctuation amplitude, the second height reduction amplitude, and the second fluctuation amplitude.

Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

Abstract: The present disclosure provides an external parameter calibration method for robot sensors as well as an apparatus, robot and storage medium with the same. The method includes: obtaining first sensor data and second sensor data obtained through a first sensor and a second sensor of the robot by collecting position information of a calibration reference object and converting to a same coordinate system to obtain corresponding first converted sensor data and second converted sensor data, thereby determining a first coordinate and a second coordinate of a reference point of the calibration reference object; using the first coordinate and the second coordinate are as a set of coordinate data; repeating the above-mentioned steps to obtain N sets of the coordinate data to calculate the external parameter between the first sensor and the second sensor in response to a relative positional relationship between the robot and the calibration reference object being changed.