抄録
There is a strong correlation between the number of appropriate behaviors an interactive robot can produce and its perceived intelligence. We propose a robot architecture for implementing a large number of behaviors and a visualizing tool for understanding the developed complex system. Behaviors are designed by using knowledge obtained through cognitive experiments and implemented by using situated recognition. By representing relationships between behaviors, episode rules help to guide the robot in communicating with people in a consistent manner. We have implemented over 100 behaviors and 800 episode rules in a humanoid robot. As a result, the robot could entice people to relate to it interpersonally. An Episode Editor is a tool to support the development of episode rules and to visualize the complex relationships among the behaviors. We consider the visualization is to be necessary for the constructive approach.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | IEEE International Conference on Intelligent Robots and Systems |
| ページ | 1265-1270 |
| ページ数 | 6 |
| 巻 | 2 |
| 出版物ステータス | Published - 2002 |
| 外部発表 | Yes |
| イベント | 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems - Lausanne, Switzerland 継続期間: 2002 9 30 → 2002 10 4 |
Other
| Other | 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems |
|---|---|
| 国 | Switzerland |
| 市 | Lausanne |
| 期間 | 02/9/30 → 02/10/4 |
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ASJC Scopus subject areas
- Control and Systems Engineering
これを引用
A constructive approach for developing interactive humanoid robots. / Kanda, Takayuki; Ishiguro, Hiroshi; Imai, Michita; Ono, Tetsuo; Mase, Kenji.
IEEE International Conference on Intelligent Robots and Systems. 巻 2 2002. p. 1265-1270.研究成果: Conference contribution
}
TY - GEN
T1 - A constructive approach for developing interactive humanoid robots
AU - Kanda, Takayuki
AU - Ishiguro, Hiroshi
AU - Imai, Michita
AU - Ono, Tetsuo
AU - Mase, Kenji
PY - 2002
Y1 - 2002
N2 - There is a strong correlation between the number of appropriate behaviors an interactive robot can produce and its perceived intelligence. We propose a robot architecture for implementing a large number of behaviors and a visualizing tool for understanding the developed complex system. Behaviors are designed by using knowledge obtained through cognitive experiments and implemented by using situated recognition. By representing relationships between behaviors, episode rules help to guide the robot in communicating with people in a consistent manner. We have implemented over 100 behaviors and 800 episode rules in a humanoid robot. As a result, the robot could entice people to relate to it interpersonally. An Episode Editor is a tool to support the development of episode rules and to visualize the complex relationships among the behaviors. We consider the visualization is to be necessary for the constructive approach.
AB - There is a strong correlation between the number of appropriate behaviors an interactive robot can produce and its perceived intelligence. We propose a robot architecture for implementing a large number of behaviors and a visualizing tool for understanding the developed complex system. Behaviors are designed by using knowledge obtained through cognitive experiments and implemented by using situated recognition. By representing relationships between behaviors, episode rules help to guide the robot in communicating with people in a consistent manner. We have implemented over 100 behaviors and 800 episode rules in a humanoid robot. As a result, the robot could entice people to relate to it interpersonally. An Episode Editor is a tool to support the development of episode rules and to visualize the complex relationships among the behaviors. We consider the visualization is to be necessary for the constructive approach.
UR - http://www.scopus.com/inward/record.url?scp=0036452635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036452635&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0036452635
VL - 2
SP - 1265
EP - 1270
BT - IEEE International Conference on Intelligent Robots and Systems
ER -