Path and Sensing Point Planning for Mobile Robot Navigation to Minimize the Risk of Collision.
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- Nagatani Keiji
- Doctor Candidate, University of Tsukuba
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- Yuta Shin'ichi
- Institute of Information Sciences and Electronics, University of Tsukuba
Bibliographic Information
- Other Title
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- 衝突の危険性を評価関数とする移動ロボットの経路とセンシング点の計画
- ショウトツ ノ キケンセイ オ ヒョウカ カンスウ ト スル イドウ ロボット
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Description
A new path planning method for mobile robots is proposed. When a mobile robot navigates, an error in estimated position by dead-reckoning of the robot increases with the traveling distance. Generally, environment recognizing functions of a robot are limited, and hence the positioning error gives a risk of collision with objects in the envi-ronment. To reduce this error, the robot should detect the natural or artificial landmark in the environment by its own sensors, and adjust it's estimated position. It is necessary for a mobile robot navigation to adjust it's position in suitable intervals. However, there are not so many landmarks to adjust robot's position in real environment. Hence planning the path with good landmarks is necessary for mobile robot navigation to a goal. On the other hand, it is nonsense to take huge cost to detect such landmarks. In this case, trade-off between sensing costs and good landmarks is important.<BR>In this paper, the cost function for the mobile robot's path which minimizes the risk of collision related with sensing cost, and the algorithm to find the optimal path and sensing points are proposed. The authors implemented the proposed algorithm on real robot system, and made several experiments to verify this algorithm.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 15 (2), 197-206, 1997
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390001204724972928
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- NII Article ID
- 10007440649
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 4159447
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed