TY - GEN
T1 - Interactive evolution of human-robot communication in real world
AU - Suga, Yuki
AU - Ikuma, Yoshinori
AU - Nagao, Daisuke
AU - Sugano, Shigeki
AU - Ogata, Tetsuya
PY - 2005
Y1 - 2005
N2 - This paper describes how to implement interactive evolutionary computation (IEC) into a human-robot communication system. IEC is an evolutionary computation (EC) in which the fitness function is performed by human assessors. We used IEC to configure the human-robot communication system. We have already simulated IEC's application. In this paper, we implemented IEC into a real robot. Since this experiment leads considerable burdens on both the robot and experimental subjects, we propose the human-machine hybrid evaluation (HMHE) to increase the diversity within the genetic pool without increasing the number of interactions. We used a communication robot, WAMOEBA-3 (Waseda Artificial Mind On Emotion BAse), which is appropriate for this experiment. In the experiment, human assessors interacted with WAMOEBA- 3 in various ways. The fitness values increased gradually, and assessors felt the robot learnt the motions they desired. Therefore, it was confirmed that the IEC is most suitable as the communication learning system.
AB - This paper describes how to implement interactive evolutionary computation (IEC) into a human-robot communication system. IEC is an evolutionary computation (EC) in which the fitness function is performed by human assessors. We used IEC to configure the human-robot communication system. We have already simulated IEC's application. In this paper, we implemented IEC into a real robot. Since this experiment leads considerable burdens on both the robot and experimental subjects, we propose the human-machine hybrid evaluation (HMHE) to increase the diversity within the genetic pool without increasing the number of interactions. We used a communication robot, WAMOEBA-3 (Waseda Artificial Mind On Emotion BAse), which is appropriate for this experiment. In the experiment, human assessors interacted with WAMOEBA- 3 in various ways. The fitness values increased gradually, and assessors felt the robot learnt the motions they desired. Therefore, it was confirmed that the IEC is most suitable as the communication learning system.
KW - Communication robot
KW - Human-robot interaction
KW - Interactive evolutionary computation
UR - http://www.scopus.com/inward/record.url?scp=79957987138&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957987138&partnerID=8YFLogxK
U2 - 10.1109/IROS.2005.1545188
DO - 10.1109/IROS.2005.1545188
M3 - Conference contribution
AN - SCOPUS:79957987138
SN - 0780389123
SN - 9780780389120
T3 - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
SP - 1438
EP - 1443
BT - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PB - IEEE Computer Society
ER -