Domain adaptation for simulated motor backlash

    公开(公告)号:US12280499B2

    公开(公告)日:2025-04-22

    申请号:US17095586

    申请日:2020-11-11

    Abstract: A method, system and computer program product for training a control input system involve taking an integral of an output value from a Motion Decision Neural Network for one or more movable joints to generate an integrated output value and comparing the integrated output value to a backlash threshold. A subsequent output value is generated using a machine learning algorithm that includes a sensor value and a previous joint position if the integrated output value does not at least meet the threshold. A position of the one or more movable joints is simulated based on an integral of the subsequent output value; and the Motion Decision Neural Network is trained with the machine learning algorithm based upon at least a result of the simulation of the position of the one or more movable joints.

    Systems and methods for dynamic modification of audio playback with user feedback

    公开(公告)号:US12251634B2

    公开(公告)日:2025-03-18

    申请号:US18309431

    申请日:2023-04-28

    Abstract: A method for dynamically modifying audio playback of a video game is provided. The method includes ascertaining game music data associated with the video game. The game music data may include a plurality of game soundtracks classified according to predetermined criteria. The method may include collecting feedback while the user is playing the video game, the feedback including data associated with the user's performance; an express user action; an evaluation of game results; the user's emotional state; and a user input. The method may continue with determining one or more replacement soundtracks based on criteria associated with the one or more replacement soundtracks. The method may further include dynamically modifying the game music data while the user is playing the video game by replacing at least one of the plurality of game soundtracks with the one or more replacement soundtracks to obtain modified game music data.

    Method for robotic training based on randomization of surface damping

    公开(公告)号:US12017359B2

    公开(公告)日:2024-06-25

    申请号:US17095640

    申请日:2020-11-11

    CPC classification number: B25J9/163 B25J9/12 G06F30/27 G06N3/084 G06N3/048

    Abstract: A method, system and computer product for training a control input system involve taking an integral of an output value from a Motion Decision Neural Network for one or more movable joints to generate an integrated output value and generating a subsequent output value using a machine learning algorithm that includes a sensor value and a previous joint position if the integrated output value does not at least meet the threshold. Surface damping interactions with at least a simulated environment, a rigid body position and a position of the one or more movable joints based on an integral of the subsequent output value are simulated. The Motion Decision Neural Network is trained with the machine learning algorithm based upon at least a result of the simulation of the simulated environment and position of the one or more movable joints.

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