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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