Method and System for Generating a Sequence of Actions for Controlling a Robot
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United States of America Patent
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Issued Date -
Aug 29, 2024
app pub date -
Sep 27, 2023
filing date -
Feb 23, 2023
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Abstract
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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Patent Owner(s)
Patent Owner | Address | |
---|---|---|
MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC | CAMBRIDGE MA |
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- [Patents Count]
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Corcodel, Radu Ioan | Cambridge, US | 7 | 11 |
Harwath, David | Austin, US | 3 | 6 |
Hori, Chiori | Lexington, US | 19 | 206 |
Jain, Siddarth | Cambridge, US | 6 | 7 |
Jha, Devesh | Cambridge, US | 19 | 63 |
Le, Roux Jonathan | Arlington, US | 56 | 568 |
Liu, Xinyu | Province, US | 129 | 549 |
Peng, Puyuang | Austin, US | 1 | 0 |
Romeres, Diego | Boston, US | 19 | 31 |
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