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.

Abstract: A feedforward control method comprising steps of: acquiring kinematic parameters of each joint of a robot based on inverse kinematics according to a pre-planned robot motion trajectory, and setting a center of a body of the robot as a floating base; determining a six-dimensional acceleration of a center of mass of each joint of the robot in a base coordinate system using a forward kinematics algorithm, based on the kinematic parameters of each joint of the robot, and converting the six-dimensional acceleration of the center of mass of each joint of the robot in the base coordinate system to a six-dimensional acceleration in a world coordinate system; and calculating a torque required by a motor of each joint of the robot using an inverse dynamic algorithm, and controlling the motors of corresponding joints of the robot.

Abstract: The present disclosure provides a corpus cleaning method and a corpus entry system. The method includes: obtaining an input utterance; generating a predicted value of an information amount of each word in the input utterance according to the context of the input utterance using a pre-trained general model; and determining redundant words according to the predicted value of the information amount of each word, and determining whether to remove the redundant words from the input utterance. In such a manner, the objectivity and accuracy of corpus cleaning can be improved.

Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

Abstract: The present disclosure provides a zero moment point jitter processing method as well as an apparatus and a robot using the same. The method includes: obtaining left foot force information and right foot force information collected by sensors; calculating a first zero moment point and a second zero moment point of soles of two feet of a robot based on the left foot force information and the right foot force information; calculating a third zero moment point of the robot according to the first zero moment point and the second zero moment point; calculating a jitter amplitude of the third zero moment point within a preset period; and adjusting a position of the third zero moment point in response to the jitter amplitude being not larger than a predetermined jitter amplitude threshold. In this manner, the robot can eliminate zero moment point jitters within a certain amplitude.

Abstract: The present disclosure provides a stair climbing gait planning method and an apparatus and a robot using the same. The method includes: obtaining first visual measurement data through a visual sensor of the robot; converting the first visual measurement data to second visual measurement data; and performing a staged gait planning on a process of the robot to climb the staircase based on the second visual measurement data. Through the method, the visual measurement data is used as a reference to perform the staged gait planning on the process of the robot to climb the staircase, which greatly improves the adaptability of the robot in the complex scene of stair climbing.

Abstract: The present disclosure discloses a biped robot and its moving method and apparatus. The method includes: calculating a motion state of each servo of legs of a biped robot according to an actual trajectory of the biped robot, and controlling the servo to rotate to the corresponding motion state. The scheme enables the biped robot to achieve flexible controls to the biped robot according to the received real-time external feedbacks.

Abstract: A visual positioning method and a mobile machine using the same are provided. The method includes: extracting a plurality of corner feature points corresponding to a current image; determining whether a distance between each pair of the plurality of corner feature points is less than a first preset threshold; if yes, determining whether a grayscale value of each of the plurality of corner feature points with the distance less than the first preset threshold is within a second preset threshold range; if yes, obtaining cluster set(s) of the corner feature points; screening a plurality of valid feature points from the cluster set(s); determining a positioning reliability based on a ratio of amount of the valid feature points to an amount of the plurality of corner feature points; and if the positioning reliability is within a preset range, performing a visual positioning based on the positioning reliability.

Abstract: 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.

Abstract: A robotic assistant includes a wheeled base, a storage unit including drawers, a foldable arm connected to a top of the storage unit and including an end of arm tooling (EOAT) connected to a distal end of the foldable arm, an elevation mechanism positioned on the wheeled base and used to move the storage unit up and down, and a control system that receives command instructions. In response to the command instructions, the control system is configured to move the wheeled base, open or close the one or more drawers, actuate movement of the foldable arm and the EOAT to pick up and place external objects from/to a determined location, and control the storage unit to move up/down.

Abstract: A massage motion control method, a robot controller using the same, and a storage medium are provided. The method includes: calculating a robot end desired speed and a robot end desired angular speed corresponding to a desired massage trajectory of a massage robot to compensate using two obtained robot end compensation amounts in the case that the desired massage trajectory for a target massage area at a current control cycle, a robot end speed compensation amount meeting a desired massage intensity requirement, and a robot end angular speed compensation amount adapted to an environmental curvature of the target massage area are obtained, and controlling the massage robot by determining a corresponding to-be-outputted joint angle based on motion parameter(s) obtained by the compensation. In this manner, the adaptive change of the massage position and the massage intensity for the massage area of the patient can be realized.

Abstract: A robot balance control method, a controller, and a computer readable storage medium are provided. The method includes: obtaining a desired motion trajectory matching a current motion status by performing a parameter adaptation adjustment on a current planned motion trajectory; determining, according to the motion status, a desired state parameter of each of soles, a centroid, and a waist of a humanoid robot for conforming to the desired motion trajectory; calculating, based on the motion status and the desired state parameter of each of the soles, the centroid, and the waist of the humanoid robot, a desired driving parameter of the humanoid robot for simultaneously meeting a robot dynamics requirement, a sole control requirement, a centroid control requirement, a waist control requirement, and force control parameter distribution constraint(s) at the current moment; and controlling, based on the desired driving parameter, a movement of the humanoid robot.

Abstract: 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.

Abstract: A wheeled base includes a housing, two driven wheeled mechanisms positioned on a bottom of the housing and on opposite sides of the housing, at least one passive wheel positioned on the bottom of the housing, actuated feet positioned on the bottom of the housing and configured to move up and down, sensors, and a battery pack arranged within the housing. The two driven wheeled mechanisms each includes a damping mechanism, and each damping mechanism includes at least two dampers configured to absorb impact caused by an upward movement of the housing, and absorb impact caused by a downward movement of the housing.

Abstract: A decoupling control method for a humanoid robot includes: decomposing tasks of the humanoid robot to obtain kinematic tasks and dynamic tasks, and classifying corresponding joints of the humanoid robot into kinematic task joints or dynamic task joints; solving desired positions and desired speeds of the kinematic task joints for performing the kinematic tasks according to desired positions and desired speeds of ends in the kinematic tasks using inverse kinematics; calculating torques of the kinematic task joints based on the desired positions and desired speeds of the kinematic task joints; and solving a pre-built optimization model of torques required for the dynamic task joints based on the calculated torques of the kinematic task joints, to obtain torques required by the dynamic task joints for performing the dynamic tasks.

Abstract: The present disclosure provides a robot pose determination method including: collecting laser frames; calculating a current pose of the robot in a map pointed by a first pointer based on the laser frames, and obtaining an amount of the laser frames having been inserted into the map pointed by the first pointer; inserting the laser frames into a map pointed by the first pointer, if less than a first threshold; inserting the laser frames into the map pointed by the first pointer and a map pointed by a second pointer, if greater than or equal to the first threshold and less than a second threshold; and pointing the first pointer to the map pointed by the second pointer, pointing the second pointer to a newly created empty map, and inserting the laser frames into the map pointed by the first pointer, if equal to the second threshold.

Abstract: The present disclosure provides a sentence generation method as well as a sentence generation apparatus and a smart device. The method includes: obtaining an input sentence; searching for structurally similar sentence(s) of each input sentence, where the structurally similar sentence(s) are structurally similar to the input sentence; finding semantically similar sentence(s) of the structurally similar sentence(s); parsing the input sentence and the structurally similar sentence(s) to obtain a subject block, a predicate block, and an object block to rewrite the semantically similar sentences to generate a new sentence; filtering the new sentence based on a preset filtering condition; and labeling the filtered new sentence as a semantically similar sentence of the input sentence. In this manner, a plurality of new sentences with different sentence patterns can be generated based on the same input sentence, which improves the controllability in generating the sentences and saves the labor cost therein.

Abstract: A gait planning method and a robot using the same as well as a computer readable storage medium are provided. The method includes: determining a reference leg length l0 and a leg length variation range A of a robot; performing a trajectory planning on a length of at least one of the legs of the robot using; an equation including the reference leg length, the leg length variation range, and a preset recurrent excitation function of a time variable t. In this manner, the trajectory planning for the leg length of the robot during motion is performed according to the characteristics of motion scene such as robot jumping or running so that the change of the leg length of the robot is adapted to the motion process, which greatly improves the stability of the robot in the motion scene such as jumping or running.