Learning, generation and recognition of motions by reference-point- dependent probabilistic models

Advanced Robotics

Volumn 25, Issue 6-7, 2011, Pages 825-848

  Sugiura, Komei ^a   Iwahashi, Naoto ^a   Kashioka, Hideki ^a   Nakamura, Satoshi ^a  

^a NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

hidden Markov model; Imitation learning; object manipulation; robot language acquisition

Indexed keywords

CO-ORDINATE SYSTEM; IMITATION LEARNING; LEARNING OBJECTS; MOTION GENERATION; MOTION TRAJECTORIES; NOVEL METHODS; OBJECT MANIPULATION; OBJECT PLACEMENT; PHYSICAL EXPERIMENTS; PROBABILISTIC MODELS; RECOGNITION ACCURACY; REFERENCE POINTS; ROBOT LANGUAGE ACQUISITION; STATIC AND DYNAMIC; TEST SETS; TRAJECTORY GENERATION;

EXPERIMENTS;

HIDDEN MARKOV MODELS;

EID: 79954459331     PISSN: 01691864     EISSN: 15685535     Source Type: Journal    
DOI: 10.1163/016918611X563328     Document Type: Article

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