Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures

Imitation learning is a promising approach for robots to learn complex motor skills. Recent techniques allow robots to learn long-term movements comprising multiple sub-behaviors. However, learning the temporal structures of movements from a demonstration is challenging, particularly when sub-behavi...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Kyo Kutsuzawa, Mitsuhiro Hayashibe
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Imitation learning time-varying synergy neural networks neuroscience
Online Access:	https://ieeexplore.ieee.org/document/10091504/