Training Revising Based Traversability Analysis of Complex Terrains for Mobile Robot | Zendy

Song Rui | Zendy; Rong Xuewen | Zendy; Li Guoliang | Zendy; Li Yibin | Zendy

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Training Revising Based Traversability Analysis of Complex Terrains for Mobile Robot

Author(s) -

Song Rui,

Rong Xuewen,

Li Guoliang,

Li Yibin

Publication year - 2014

Publication title -

advances in mechanical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 40

ISSN - 1687-8132

DOI - 10.1155/2014/572917

Subject(s) - terrain , mobile robot , robot , artificial intelligence , computer science , training (meteorology) , robotics , computer vision , geography , cartography , meteorology

Traversability analysis is one of the core issues in the autonomous navigation for mobile robots to identify the accessible area by the information of sensors on mobile robots. This paper proposed a model to analyze the traversability of complex terrains based on rough sets and training revising. The model described the traversability for mobile robots by traversability cost. Through the experiment, the paper gets the conclusion that traversability analysis model based on rough sets and training revising can be used where terrain features are rich and complex, can effectively handle the unstructured environment, and can provide reliable and effective decision rules in the autonomous navigation for mobile robots.

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