Imitation with ALICE: Learning to imitate corresponding actions across dissimilar embodiments

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 32, Issue 4, 2002, Pages 482-496

  Alissandrakis, Aris ^a   Nehaniv, Chrystopher L ^a   Dautenhahn, Kerstin ^a  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

Correspondence problem; Embodiment; Imitation; Machine learning

Indexed keywords

ALGORITHMS; ANTHROPOMORPHIC ROBOTS; COGNITIVE SYSTEMS; COMPUTER SIMULATION; MOTION CONTROL; MULTI AGENT SYSTEMS; ROBOT LEARNING;

ACTION LEARNING FOR IMITATION VIA CORRESPONDENCE BETWEEN EMBODIMENTS; CORRESPONDENCE PROBLEM;

LEARNING SYSTEMS;

EID: 0036665757     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2002.804820     Document Type: Article

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