Method and System for Generating a Sequence of Actions for Controlling a Robot

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United States of America Patent

APP PUB NO 20240288870A1
SERIAL NO

18475442

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Abstract

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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 OwnerAddress
MITSUBISHI ELECTRIC RESEARCH LABORATORIES INCCAMBRIDGE MA

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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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