Controlling position of robot by determining goal proposals by using neural networks

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United States of America

PATENT NO 11958529
SERIAL NO

16998941

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Abstract

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A framework for offline learning from a set of diverse and suboptimal demonstrations operates by selectively imitating local sequences from the dataset. At least one embodiment recovers performant policies from large manipulation datasets by decomposing the problem into a goal-conditioned imitation and a high-level goal selection mechanism.

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Patent Owner(s)

Patent OwnerAddress
NVIDIA CORPORATION2701 SAN TOMAS EXPRESSWAY SANTA CLARA CA 95050

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Boots, Byron Seattle, US 4 40
Fox, Dieter Seattle, US 61 245
Garg, Animesh Berkeley, US 18 94
Mandlekar, Ajay Uday Cupertino, US 5 18
Tozeto, Ramos Fabio Seattle, US 17 58

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