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Goal-conditioned dual-action deep imitation learning for banana peeling

The proposed goal-conditioned dual-action (GC-DA) deep imitation learning model was tested with the banana peeling task in the real dual-arm robot manipulator (UR5).

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Cite this as

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi (2024). Dataset: Goal-conditioned dual-action deep imitation learning for banana peeling. https://doi.org/10.57702/dd5ikan3

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1109/TRO.2024.3372778
Author	Heecheol Kim
More Authors	Yoshiyuki Ohmura Yasuo Kuniyoshi