抄録
A design of mobile robot for robust life-long navigation in office environment is proposed and evaluated. The key idea is combining probabilistic map and dialog with humans for reducing the location uncertainty. Bayesian inference with the map represented by probabilistic automata is used in order to reduce the number of queries and to evaluate the success rate of planned paths. We experimentally implemented the design using a simple Bayesian Network with continuous nodes and demonstrated its effectiveness in a real environment.
| 本文言語 | English |
|---|---|
| ページ | 807-812 |
| ページ数 | 6 |
| 出版ステータス | Published - 1996 |
| 外部発表 | はい |
| イベント | Proceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3) - Osaka, Jpn 継続期間: 1996 11月 4 → 1996 11月 8 |
Other
| Other | Proceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3) |
|---|---|
| City | Osaka, Jpn |
| Period | 96/11/4 → 96/11/8 |
ASJC Scopus subject areas
- 制御およびシステム工学
- ソフトウェア
- コンピュータ ビジョンおよびパターン認識
- コンピュータ サイエンスの応用