Interactive perception for amplification of intended behavior in complex noisy environments

AI and Society

Volumn 23, Issue 2, 2009, Pages 167-186

  Mohammad, Yasser ^a   Nishida, Toyoaki ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLETE SOLUTIONS; HIGH-LEVEL REASONING; IMPORTANT FEATURES; INSTRUMENTAL NOISE; LEARNING BY IMITATION; MUTUAL ADAPTATION; SOCIAL INTELLIGENCE; UNINTENDED BEHAVIOR;

AMPLIFICATION; INTELLIGENT ROBOTS; SOCIAL SCIENCES;

BEHAVIORAL RESEARCH;

EID: 49449103574     PISSN: 09515666     EISSN: 14355655     Source Type: Journal    
DOI: 10.1007/s00146-007-0137-y     Document Type: Conference Paper

References (5)

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2. Iba S (2004) Interactive multi-modal robot programming. PhD Thesis. Robotics Institute, Carnegie Mellon University, Pennsylvania
3. Lieberman J (2004) Teaching a robot manipulation skills through demonstration. Master Thesis. Department of Mechanical Engineering, MIT, Cambridge, MA
4. Schaal S (1999) Is imitation learning the route to humanoid robots? Trends Cogn Sci 3(6):233-242
5. Xu Y, Tajima T, Hatakeyama M, Yasuyuki S, Nishida T (2005) A two-layered approach to make human-robot interaction social and robust. In: AISB 2005 symposium on conversational informatics for supporting social intelligence and interaction, Hatfield, England, April 2005