Imitation Learning for Nonprehensile Manipulation Through Self-Supervised Learning Considering Motion Speed

Robots are expected to replace menial tasks such as housework. Some of these tasks include nonprehensile manipulation performed without grasping objects. Nonprehensile manipulation is very difficult because it requires considering the dynamics of environments and objects. Therefore imitating complex...

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Hlavní autoři:	Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Access
Témata:	Bilateral control imitation learning machine learning motion planning nonprehensile manipulation self-supervised learning
On-line přístup:	https://ieeexplore.ieee.org/document/9804696/
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