Abstract
Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact with human to grasp all the information. We have adopted a behavior-based approach for high-level behaviors such as navigation of office, conversation with human, and cleaning of room. Behavior-based method can control unexpected situation without prior knowledge and generate high-level behavior with behavior selection. However, TA requires improvements of behavior selection architecture for better communication with human. In this paper, we propose an intelligent behavior selection architecture that contains interferencing, learning and planning capability to TA. In this paper, overview of technical details and experimental results on physical device (Khepera robot) are presented. Preliminary results show the possibility of the proposed behavior selection for TA.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation |
| Subtitle of host publication | Computational Intelligence in Robotics and Automation for the New Millennium |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 175-180 |
| Number of pages | 6 |
| ISBN (Electronic) | 0780378660 |
| DOIs | |
| Publication status | Published - 2003 Jan 1 |
| Event | 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan Duration: 2003 Jul 16 → 2003 Jul 20 |
Publication series
| Name | Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA |
|---|---|
| Volume | 1 |
Other
| Other | 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 |
|---|---|
| Country | Japan |
| City | Kobe |
| Period | 03/7/16 → 03/7/20 |
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All Science Journal Classification (ASJC) codes
- Computational Mathematics
Cite this
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Behavior selection architecture for tangible agent. / Kim, Kyung Joong; Cho, Sung Bae; Oh, Sang Rok.
Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2003. p. 175-180 1222084 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA; Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Behavior selection architecture for tangible agent
AU - Kim, Kyung Joong
AU - Cho, Sung Bae
AU - Oh, Sang Rok
PY - 2003/1/1
Y1 - 2003/1/1
N2 - Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact with human to grasp all the information. We have adopted a behavior-based approach for high-level behaviors such as navigation of office, conversation with human, and cleaning of room. Behavior-based method can control unexpected situation without prior knowledge and generate high-level behavior with behavior selection. However, TA requires improvements of behavior selection architecture for better communication with human. In this paper, we propose an intelligent behavior selection architecture that contains interferencing, learning and planning capability to TA. In this paper, overview of technical details and experimental results on physical device (Khepera robot) are presented. Preliminary results show the possibility of the proposed behavior selection for TA.
AB - Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact with human to grasp all the information. We have adopted a behavior-based approach for high-level behaviors such as navigation of office, conversation with human, and cleaning of room. Behavior-based method can control unexpected situation without prior knowledge and generate high-level behavior with behavior selection. However, TA requires improvements of behavior selection architecture for better communication with human. In this paper, we propose an intelligent behavior selection architecture that contains interferencing, learning and planning capability to TA. In this paper, overview of technical details and experimental results on physical device (Khepera robot) are presented. Preliminary results show the possibility of the proposed behavior selection for TA.
UR - http://www.scopus.com/inward/record.url?scp=84942524771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942524771&partnerID=8YFLogxK
U2 - 10.1109/CIRA.2003.1222084
DO - 10.1109/CIRA.2003.1222084
M3 - Conference contribution
AN - SCOPUS:84942524771
T3 - Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
SP - 175
EP - 180
BT - Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
PB - Institute of Electrical and Electronics Engineers Inc.
ER -