Learning from observation paradigm: Leg task models for enabling a biped humanoid robot to imitate human dances

International Journal of Robotics Research

Volumn 26, Issue 8, 2007, Pages 829-844

  Nakaoka, Shin'Ichiro ^a   Nakazawa, Atsushi ^b   Kanehiro, Fumio ^c   Kaneko, Kenji ^c   Morisawa, Mitsuharu ^c   Hirukawa, Hirohisa ^c   Ikeuchi, Katsushi ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Biped humanoid robot; Entertainment robotics; Imitation; Learning from observation; Motion capture

Indexed keywords

LEARNING SYSTEMS; MOBILE ROBOTS; MOTION PLANNING; PROBLEM SOLVING; ROBOT PROGRAMMING;

BIPED HUMANOID ROBOTS; DYNAMIC BODY BALANCE; ENTERTAINMENT ROBOTICS; HUMAN DANCES; HUMANOID ROBOTS; IMITATION; MOTION CAPTURE;

INTELLIGENT ROBOTS;

EID: 34547162912     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364907079430     Document Type: Article

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