Using the rhythm of nonverbal human-robot interaction as a signal for learning

IEEE Transactions on Autonomous Mental Development

Volumn 3, Issue 1, 2011, Pages 30-42

  Andry, Pierre ^a   Blanchard, Arnaud ^a   Gaussier, Philippe ^a  

^a UNIVERSITÉ DE CERGY PONTOISE   (France)

Author keywords

Artificial neural networks; autonomous robotics; human robot interaction; rhythm detection and prediction; self supervised learning

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTONOMOUS ROBOTICS; BIOLOGICALLY INSPIRED; CONTROL ARCHITECTURE; EXPERT USERS; KEY ISSUES; NON-VERBAL HUMAN; RHYTHM DETECTION AND PREDICTION; ROBOT INTERACTIONS; SELF-SUPERVISED LEARNING;

HUMAN COMPUTER INTERACTION; MAN MACHINE SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; ROBOTICS; SIGNAL DETECTION; SUPERVISED LEARNING;

HUMAN ROBOT INTERACTION;

EID: 79952963576     PISSN: 19430604     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAMD.2010.2097260     Document Type: Conference Paper

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