Self-diagnosis System of an Autonomous Mobile Robot using Internal Sensory Information.
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- Okina Shinnosuke
- Chuo Univ.
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- Kawabata Kuniaki
- RIKEN
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- Fujii Teruo
- IIS, Univ of Tokyo
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- Kunii Yasuharu
- Chuo Univ.
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- Asama Hajime
- RIKEN
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- Endo Isao
- Utsunomiya Univ.
Bibliographic Information
- Other Title
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- 内界センサ情報に基づいた移動ロボットの自己診断システム
- ナイカイ センサ ジョウホウ ニ モトヅイタ イドウ ロボット ノ ジコ シンダン システム
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Abstract
Considering that the robots work in real environment, it is very important to recognize its condition by itself. Therefore, we are developing a self-diagnosis system for the autonomous robots. Especially, in this paper, we develop the basic sensory system and self-diagnosis method of an autonomous mobile robot. At first, we discuss the definition and classification of system accident. We also propose actual algorithm and method to diagnosis internal status of the robot using sensory information. The developed sensory system for self-diagnosis consists of multiple sensors, which are equipped on input/output node of each component. We show some experimental result using real autonomous mobile robot and our proposed diagnosis algorithm.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 19 (4), 535-541, 2001
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679703497344
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- NII Article ID
- 10007546118
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 5765157
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed