LEARNING
An environmental visual features based navigation for mobile robot in a corridor environment
Fairul Azni Jafar, Yasunori Suzuki, Yuki Tateno, Toshitaka Tabata, Kazutaka Yokota
- 发表年份
- 2010
- 引用次数
- 3
摘要
This paper presents a navigation method that enables an autonomous mobile robot to localize itself and identify its own orientation in order to follow a path in the environment. Both tasks use the same recognition method. The method is based on features data provided through an image captured by a single camera, which is trained by a neural network. No precise and accurate measurement is used in the proposed navigation method, but the experiment results showed that the proposed method is competent to work in actual environments.
关键词
Mobile robotComputer scienceArtificial intelligenceComputer visionMobile robot navigationOrientation (vector space)RobotArtificial neural networkPath (computing)Motion planning
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