发明公开
- 专利标题: Method and System for Generating a Sequence of Actions for Controlling a Robot
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申请号: US18475442申请日: 2023-09-27
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公开(公告)号: US20240288870A1公开(公告)日: 2024-08-29
- 发明人: Chiori Hori , Jonathan Le Roux , Devesh Jha , Siddarth Jain , Radu Ioan Corcodel , Diego Romeres , Puyuang Peng , Xinyu Liu , David Harwath
- 申请人: Mitsubishi Electric Research Laboratories, Inc.
- 申请人地址: US MA Cambridge
- 专利权人: Mitsubishi Electric Research Laboratories, Inc.
- 当前专利权人: Mitsubishi Electric Research Laboratories, Inc.
- 当前专利权人地址: US MA Cambridge
- 主分类号: G05D1/02
- IPC分类号: G05D1/02 ; G06V10/82 ; G06V20/40 ; G10L15/02 ; G10L15/16 ; G10L15/18
摘要:
A method, a system and a computer program product are provided for applying a neural network including an action sequence decoder for generating an action sequence for a robot to perform a task. The neural network is applied to generate the action sequence based on recordings demonstrating humans performing tasks. In an example, the method comprises collecting a recording and a sequence of captions describing scenes in the recording; extracting feature data from the recording; encoding the extracted feature data to produce a sequence of encoded features; and applying the action sequence decoder to produce a sequence of actions for the robot based on the sequence of encoded features having a semantic meaning corresponding to a semantic meaning of the sequence of captions. The feature data includes features of a video signal, an audio signal, and/or text transcription capturing a performance of the task.
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