TY - GEN ID - cogprints4990 UR - http://cogprints.org/4990/ A1 - Hattori, Yuya A1 - Kozima, Hideki A1 - Komatani, Kazunori A1 - Ogata, Tetsuya A1 - Okuno, Hiroshi G. Y1 - 2005/// N2 - We propose a motion generation model in which robots presume the sound source of an environmental sound and imitate its motion. Sharing environmental sounds between humans and robots enables them to share environmental information. It is difficult to transmit environmental sounds in human-robot communications. We approached this problem by focusing on the iconic gestures. Concretely, robots presume the motion of the sound source object and map it to the robot motion. This method enabled robots to imitate the motion of the sound source using their bodies. PB - Lund University Cognitive Studies KW - iconic gesture generation KW - inter-modal learning KW - auditory distance KW - Keepon robot TI - Robot Gesture Generation from Environmental Sounds Using Inter-modality Mapping SP - 139 AV - public EP - 140 ER -