Physical human-robot interaction in imitation learning
This video presents our recent research on the
integration of physical human-robot interaction (pHRI) with imitation learning. First, a marker control approach for real-time human-motion imitation is shown. Second, physical coaching in addition to observational learning is applied for the incremental learning of motion primitives. Last, we extend imitation learning to learning pHRI which includes the establishment
of intended physical contacts. The proposed methods
were implemented and tested using the IRT humanoid robot
and DLR’s humanoid upper-body robot Justin.
Dongheui Lee, Christian Ott, Yoshihiko Nakamura, Gerd Hirzinger
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