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 -