creators_name: Hattori, Yuya
creators_name: Kozima, Hideki
creators_name: Komatani, Kazunori
creators_name: Ogata, Tetsuya
creators_name: Okuno, Hiroshi G.
editors_name: Berthouze, Luc
editors_name: Kaplan, Frédéric
editors_name: Kozima, Hideki
editors_name: Yano, Hiroyuki
editors_name: Konczak, Jürgen
editors_name: Metta, Giorgio
editors_name: Nadel, Jacqueline
editors_name: Sandini, Giulio
editors_name: Stojanov, Georgi
editors_name: Balkenius, Christian
type: confposter
datestamp: 2006-07-23
lastmod: 2011-03-11 08:56:31
metadata_visibility: show
title: Robot Gesture Generation from Environmental
Sounds Using Inter-modality Mapping
ispublished: pub
subjects: comp-sci-mach-learn
subjects: comp-sci-robot
full_text_status: public
keywords: iconic gesture generation, inter-modal learning, auditory distance, Keepon robot
abstract: 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.
date: 2005
date_type: published
volume: 123
publisher: Lund University Cognitive Studies
pagerange: 139-140
refereed: TRUE
citation:   Hattori, Yuya and Kozima, Hideki and Komatani, Kazunori and Ogata, Tetsuya and Okuno, Hiroshi G.  (2005) Robot Gesture Generation from Environmental Sounds Using Inter-modality Mapping.  [Conference Poster]     
document_url: http://cogprints.org/4990/1/hattori.pdf