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Deep Imitation Learning for Bimanual Robotic Manipulation

NIPS 2020, (2020)

Cited by: 0|Views34
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Abstract

We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. Imitation learning has been effectively utilized in mimicking bimanual manipulation movements, but generalizing the movement to objects in different locations has not been explored. We hypothesize that to precisely genera...More

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Author
Fan Xie
Fan Xie
Alexander Chowdhury
Alexander Chowdhury
M. Clara De Paolis Kaluza
M. Clara De Paolis Kaluza
Linfeng Zhao
Linfeng Zhao
Lawson Wong
Lawson Wong
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