DocumentCode :
2691245
Title :
Physical human robot interaction in imitation learning
Author :
Lee, Dongheui ; Ott, Christian ; Nakamura, Yoshihiko ; Hirzinger, Gerd
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. of Munich, Munich, Germany
fYear :
2011
fDate :
9-13 May 2011
Firstpage :
3439
Lastpage :
3440
Abstract :
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.
Keywords :
human-robot interaction; humanoid robots; learning (artificial intelligence); mobile robots; DLR humanoid upper-body robot Justin; IRT humanoid robot; human motion imitation; imitation learning; marker control approach; motion primitive incremental learning; observational learning; physical coaching; physical contacts; physical human robot interaction; Education; Hidden Markov models; Humanoid robots; Humans; Robot kinematics; Springs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
ISSN :
1050-4729
Print_ISBN :
978-1-61284-386-5
Type :
conf
DOI :
10.1109/ICRA.2011.5979792
Filename :
5979792
Link To Document :
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