Context-based multi-turn dialogue method and storage medium

    公开(公告)号:US11941366B2

    公开(公告)日:2024-03-26

    申请号:US17102395

    申请日:2020-11-23

    CPC classification number: G06F40/35 G06F40/284 G06N3/049

    Abstract: The present disclosure discloses a context-based multi-turn dialogue method. The method includes: obtaining to-be-matched historical dialogue information; performing a word feature extraction based on the to-be-matched historical dialogue information to obtain a historical dialogue word embedding; obtaining candidate answer information; performing the word feature extraction based on the candidate answer information to obtain a candidate answer word embedding; obtaining a historical dialogue partial matching vector and a candidate answer partial matching vector by performing partial semantic relationship matching based on the historical dialogue word embedding and the candidate answer word embedding; obtaining a candidate answer matching probability by performing a matching probability calculation based on the historical dialogue partial matching vector and the candidate answer partial matching vector; and determining matched answer information based on the candidate answer information and the candidate answer matching probability.

    ADMITTANCE CONTROL METHOD, ROBOT, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240091934A1

    公开(公告)日:2024-03-21

    申请号:US18518955

    申请日:2023-11-25

    Abstract: An admittance control method, a robot, and a storage medium are provided. The method includes: obtaining, based on a first admittance controller transfer function between force and position, a desired position of a robot in a current control cycle; determining a corresponding Jacobian matrix according to a configuration of the robot in the current control cycle, and calculating an ill condition number of the Jacobian matrix; and controlling the robot to move by inputting the obtained desired position in the current control cycle to a corresponding joint, in response to the ill condition number being less than a preset maximum ill condition number. In this manner, the configuration of the robot can be maintained within a reasonable rang of the ill condition number, and singularities caused by the admittance controller exceeding the work space can be avoided while the velocity reachability and force reachability of the robot can be ensured.

    Gait planning method and robot using the same and computer readable storage medium

    公开(公告)号:US11926056B2

    公开(公告)日:2024-03-12

    申请号:US17678030

    申请日:2022-02-23

    CPC classification number: B25J9/1664

    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.

    ARM ANGLE INTERVAL SOLVING METHOD AND ROBOTIC ARM USING THE SAME

    公开(公告)号:US20240001546A1

    公开(公告)日:2024-01-04

    申请号:US18369225

    申请日:2023-09-18

    CPC classification number: B25J9/163 B25J9/1653

    Abstract: A robotic arm angle interval inverse solving method and a robotic arm using the same are provided. The method includes: obtaining a joint angle calculation model and a differential relationship model of a target joint of the robotic arm; obtaining extreme arm angles corresponding to a joint angle of the differential relationship model at extreme values based on the differential relationship model; obtaining a joint arm angle interval corresponding to the target joint based on the extreme arm angle and the joint angle calculation model; and obtaining a target arm angle interval corresponding to the robotic arm based on the joint arm angle interval corresponding to the target joint of the robotic arm. In comparison with the existing method to solve the arm angle interval of the robotic arm, a more accurate arm angle interval can be obtained.

    Entity recognition method and apparatus

    公开(公告)号:US11790174B2

    公开(公告)日:2023-10-17

    申请号:US17134494

    申请日:2020-12-27

    CPC classification number: G06F40/295 G06F18/214 G06F18/2415 G06F40/40

    Abstract: The present disclosure discloses an entity recognition model training method and an entity recognition method as well as an apparatus using them. The entity recognition model training method includes: obtaining a training text and matching the training text with a database to obtain a plurality of matching results; processing the matching results to obtain a plurality of feature vectors corresponding to the matching results; obtaining a word vector of each word in the training text by processing the training text; and training an initial entity recognition model based on the feature vector and the word vector to obtain an entity recognition model. By using this training manner, the entity recognition model obtained can have an improved accuracy of entity recognition.

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