USING EMBEDDINGS, GENERATED USING ROBOT ACTION MODELS, IN CONTROLLING ROBOT TO PERFORM ROBOTIC TASK

    公开(公告)号:US20240100693A1

    公开(公告)日:2024-03-28

    申请号:US18102053

    申请日:2023-01-26

    Applicant: GOOGLE LLC

    CPC classification number: B25J9/163 B25J9/1653 B25J9/1697 B25J9/162

    Abstract: Some implementations relate to using trained robotic action ML models in controlling a robot to perform a robotic task. Some versions of those implementations include (a) a first modality robotic action ML model that is used to generate, based on processing first modality sensor data instances, first predicted action outputs for the robotic task and (b) a second modality robotic action ML model that is used to generate, in parallel and based on processing second modality sensor data instances, second predicted action outputs for the robotic task. In some of those versions, respective weights for each pair of the first and second predicted action outputs are dynamically determined based on analysis of embeddings generated in generating the first and second predicted action outputs. A final predicted action output, for controlling the robot, is determined based on the weights.

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