Abstract: The present disclosure provides a method for extracting a face detection image, wherein the method includes: obtaining a plurality of image frames by an image detector, performing a face detection process on each image frame to extract a face area, performing a clarity analysis on the face area of each image frame to obtain a clarity degree of a face, conducting a posture analysis on the face area of each image frame to obtain a face posture angle, generating a comprehensive evaluation index for each image frame in accordance with the clarity degree of the face and the face posture angle of each image frame, and selecting a key frame from the image frames based on the comprehensive evaluation index. Such that the resource occupancy rate during image data processing may be reduced, and the quality of the face detection process may be improved.

Abstract: A motion control method, a robot controller, and a computer readable storage medium are provided. The method includes: calculating an inverse Jacobian matrix of a whole-body generalized coordinate vector at a current time relative to an actual task space vector of a humanoid robot; calculating a target generalized coordinate vector corresponding to a to-be-executed task space vector at a current moment by combining an actual task space vector and the to-be-executed task space vector into a null space of the inverse Jacobian matrix according to preset position constraint(s) corresponding to the whole-body generalized coordinate vector; and controlling a motion state of the humanoid robot according to the target generalized coordinate vector. In this manner, the motion of the humanoid robot is optimized as a whole to achieve the purpose of controlling the humanoid robot to avoid the limits of the motion of joints.

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.

Abstract: A scene data obtaining method as well as a model training method and a computer readable storage medium using the same are provided. The method includes: building a virtual simulation scene corresponding to an actual scene, where the virtual simulation scene is three-dimensional; determining a view frustum corresponding to preset view angles in the virtual simulation scene; collecting one or more two-dimensional images in the virtual simulation scene and ground truth object data associated with the one or more two-dimensional images using the view frustum corresponding to the preset view angles; and using all the two-dimensional images and the ground truth object data associated with the one or more two-dimensional images as scene data corresponding to the actual scene. In this manner, the data collection does not require manual annotation, and the obtained data can be used for training deep learning-based perceptual models.

Abstract: A robotic leg assembly includes a main body having a first end and an opposite second end, a first servo arranged at the first end of the main body, a second servo connected to the main body and comprising an output shaft, a servo holder arranged at the second end of the main body, a third servo received in the servo holder, and a linkage bar mechanism. Each of a first initial angle of the first rotary member and a second initial angle of the second rotary member is in a predetermined range.

Abstract: A connection assembly for holding a support member in position includes: a base defining a receiving hole to receive an end portion of the support member, and a guiding hole in a lateral surface thereof, which communicates with the receiving hole; a fixing block; a locking member slidably received in the guiding hole and slidable between a first position where the locking member is engaged with the support member so as to hold the support member in position, and a second position where the locking member is disengaged from the support member; and an actuating member connected to the fixing block and the locking member, the actuating member being configured to drive the locking member to move between the first position and the second position.

Abstract: A control system for a neck mechanism includes a perception system configured to track movement of an object, and a perception control system that controls a rotary motor to yaw a platform and controls a first linear actuator and a second linear actuator that is in parallel with the first linear actuator to pitch and roll the platform according to a target position of the platform. The perception system tracks movement of the object by estimating its position and pose in 3D space and the platform is moved according to a vision-based position and pose estimation result.

Abstract: The present invention discloses a question answering method including obtaining a first question and a first category of the first question, combining the first question with each of preset second questions corresponding to the first category to form question groups, inputting the question groups into a trained deep retrieval matching classification model to obtain a first probability of a first classification label of each of the question groups, inputting the first question into a gradient boosting decision model to obtain a second category of the first question, obtaining a second category of the second questions, adjusting the first probability of the first classification label of each of the question groups, according to the second category of the second questions and the second category of the first question in each of the question groups, and outputting a reply according to adjusted first probabilities for solving a problem of low reply accuracy.

Abstract: The present disclosure provides a robot recharging localization method including: calculating a directional angle of a first identification line based on identification points near a radar zero point of the first recognition line collected by a radar of the robot; determining a sequence of the identification points in an identification area according to the calculated directional angle of the first identification line, and finding two endpoints of the sequence of the identification points; determining dividing point(s) in the sequence of the identification points; fitting the sequence of the identification points to obtain a linear equation of the first identification line with respect to a coordinate system of a mobile robot; and determining a central positional coordinate of the first identification line based on the dividing point(s) and a linear equation, and determining a relative position of the robot based on the central positional coordinate and the linear equation.

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 feet 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.

Abstract: The present disclosure provides a gesture recognition method as well as a terminal device and a computer-readable storage medium using the same. The method includes: obtaining a video stream collected by an image recording device in real time; performing a hand recognition on the video stream to determine static gesture information of a recognized hand in each video frame of the video stream; encoding the static gesture information in the video frames of the video stream in sequence to obtain an encoded information sequence of the recognized hands; and performing a slide detection on the encoded information sequence using a preset sliding window to determine a dynamic gesture category of each recognized hand. In this manner, static gesture recognition and dynamic gesture recognition are effectively integrated in the same process. The dynamic gesture recognition is realized through the slide detection of the sliding window without complex network calculations.

Abstract: A loop closure detection method, a mobile device, and a computer readable storage medium are provided. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Abstract: The present disclosure provides a robot relocalization method including: obtaining a level feature of an object in a laser map and calculating a first pose list; matching a laser subgraph point cloud collected by the robot with the first pose list to obtain a second pose list, if a distance between the level feature of the object and an initial position of a relocation of the robot is smaller than a threshold; splicing the laser subgraph point cloud into subgraphs, and performing a multi-target template matching to obtain a first matching candidate result; filtering the first matching candidate result based on the second pose list to obtain a second matching candidate result; determining a overlapping area of the second matching candidate result and the subgraph, and matching boundary points in the overlapping area with the laser subgraph point cloud to obtain the result of the relocation of the robot.

Abstract: A current protection circuit for a high voltage system includes: a power supply module to supply power to a load through a high voltage bus and a low voltage bus; a detection module connected to the high voltage bus and used to detect a value of current flowing through the high voltage bus; a signal processing module electrically connected to the detection module and used to amplify the current flowing through the high voltage bus; and a control module electrically connected to the signal processing module, the power supply module, and the load, and used to disconnect the load from the power supply module or perform current limiting for the load when the value of the amplified current exceeds a preset threshold.

Abstract: The present disclosure provides a speech synthesis method as well as an apparatus and a computer readable storage medium using the same. The method includes: obtaining a to-be-synthesized text, and extracting to-be-processed Mel spectrum features of the to-be-synthesized text through a preset speech feature extraction algorithm; inputting the to-be-processed Mel spectrum features into a preset ResUnet network model to obtain first intermediate features; performing an average pooling and a first down sampling on the to-be-processed Mel spectrum features to obtain second intermediate features; taking the second intermediate features and the first intermediate features output by the ResUnet network model as an input to perform a deconvolution and a first up sampling so as to obtain target Mel spectrum features corresponding to the to-be-processed Mel spectrum features; and converting the target Mel spectrum features into a target speech corresponding to the to-be-synthesized text.

Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

Abstract: 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.

Abstract: A robot control method includes: determining a planned capture point and a measured capture point of the robot so as to calculate a capture point error of the robot; obtaining positions of a left foot and a right foot of the robot, and a planned zero moment point (ZMP) of the robot so as to calculate desired support forces of the left foot and the right foot; calculating desired torques of the left foot and the right foot according to the capture point error, the desired support forces of the left foot and the right foot; obtaining measured torques of the left foot and the right foot so as to calculate desired poses of the left foot and the right foot; and controlling the robot to walk according to the desired poses of the left foot and the desired pose of the right foot.

Abstract: A humanoid robot control method, a mobile machine using the same, and a computer readable storage medium are provided. The method includes: mapping posture information of leg joints of a human body to leg joint servos of a humanoid robot to obtain an expected rotation angle and an expected rotation angular velocity of non-target optimized joint servos of the leg joint servos and an expected rotation angle and an expected rotation angular velocity of target optimized joint servos of the leg joint servos; obtaining an optimization objective function corresponding to the target optimized joint servos of the leg joint servos; optimizing the expected rotation angle and the expected rotation angular velocity of the target optimized joint servos to obtain a corrected expected rotation angle and a corrected expected rotation angular velocity of the target optimized joint servos; and controlling each of the leg joint servos of the humanoid robot.

Abstract: A control method for a robot includes: determining a desired zero moment point (ZMP) of the robot; obtaining a position of a left foot and a position of a right foot of the robot, and calculating desired support forces of the left foot and the right foot according to the desired ZMP, the positions of the left foot and the right foot; obtaining measured support forces of the left foot and the right foot, and calculating an amount of change in length of the left leg and an amount of change in length of the right leg according to the desired support forces of the left foot and the right foot, the measured support forces of the left foot and the right foot; and controlling the robot to walk according to the amount of change in length of the left leg and the right leg.