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ICRA
2006
IEEE

Primitive Communication based on Motion Recognition and Generation with Hierarchical Mimesis Model

10 years 5 months ago
Primitive Communication based on Motion Recognition and Generation with Hierarchical Mimesis Model
— Communication skill is essential for social robots in various environments such as homes, offices, and hospitals, where the robots are expected to interact with humans. In this paper, we model the primitive nonverbal communication between two persons by mimetic communication model. The model consists of three groups of Hidden Markov Models (HMMs) hierarchically combined to recognize motions of the human and to generate the interactive motions of the robot. HMMs in the lower layer the motion patterns and HMMs in the upper layer represent the interaction patterns. We demonstrate the validity of this model through kick boxing match between a motion-captured human and humanoid robot, where the robot can autonomously generate its motion in response to attacks by the human.
Wataru Takano, Katsu Yamane, Tomomichi Sugihara, K
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICRA
Authors Wataru Takano, Katsu Yamane, Tomomichi Sugihara, Kou Yamamoto, Yoshihiko Nakamura
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