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Fuzzy neural network based dynamic path planning | IEEE Conference Publication | IEEE Xplore

Fuzzy neural network based dynamic path planning


Abstract:

It is an important issue for mobile robot to find the best route as well as avoid moving into obstacles. In this article, we put forward a solution to the problem by usin...Show More

Abstract:

It is an important issue for mobile robot to find the best route as well as avoid moving into obstacles. In this article, we put forward a solution to the problem by using fuzzy-neural network. Compared with the other path planning approaches, one of the main advantages of the methods based on fuzzy-neural network is that they give stronger robustness to the robot. Different from the similar methods, we introduce a novel fuzzy membership function which is based on collision prediction. This method not only preserves the advantages of the existing ones, but also can give a realistic meaning to the path gotten from this approach. The simulation results prove the feasibility and validity of our method.
Date of Conference: 15-17 July 2012
Date Added to IEEE Xplore: 24 November 2012
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Conference Location: Xian

References

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