Physical human robot interaction in imitation learning

This video presents our recent research on the integration of physical human-robot interaction (pHRI) into imitation learning. First, a marker control approach for real-time human motion imitation is shown. Secondly, 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.

[1]  Dongheui Lee,et al.  Incremental motion primitive learning by physical coaching using impedance control , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Yoshihiko Nakamura,et al.  Mimetic Communication Model with Compliant Physical Contact in Human—Humanoid Interaction , 2010, Int. J. Robotics Res..

[3]  Yoshihiko Nakamura,et al.  Motion capture based human motion recognition and imitation by direct marker control , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.