Open-end human robot interaction from the dynamical systems perspective: Mutual adaptation and incremental learning

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3029, Issue , 2004, Pages 435-444

  Ogata, Tetsuya ^a,b,c   Sugano, Shigeki ^b   Tani, Jun ^c  

^a KYOTO UNIVERSITY   (Japan)

^b WASEDA UNIVERSITY   (Japan)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COGNITIVE SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBLEM SOLVING; RECURRENT NEURAL NETWORKS; RESEARCH AND DEVELOPMENT MANAGEMENT; SENSORS; SYNCHRONIZATION; ANTHROPOMORPHIC ROBOTS; ARTIFICIAL INTELLIGENCE; DYNAMICAL SYSTEMS; EXPERT SYSTEMS; NAVIGATION SYSTEMS; ROBOTS; SYSTEMS ANALYSIS;

DYNAMICAL SYSTEMS; HUMAN ROBOTS; INCREMENTAL LEARNING; TASK PERFORMANCE; CONSOLIDATION LEARNING; DYNAMICAL SYSTEMS APPROACH; INTERACTIVE LEARNING; MUTUAL ADAPTATION; OPEN-END HUMAN-ROBOT INTERACTIONS; RECURRENT NEURAL NETWORK (RNN); ROBOT CONTROLS;

ROBOTS; HUMAN ROBOT INTERACTION;

EID: 9444252348     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24677-0_45     Document Type: Conference Paper

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