A Biological Inspired Neural Network Approach to Robot Path Planning in Unknown Environment

Bo Zhu; Zhong Min Wang; Zhao Lin Liu

doi:10.4028/www.scientific.net/AMM.602-605.1399

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605A Biological Inspired Neural Network Approach to...

A Biological Inspired Neural Network Approach to Robot Path Planning in Unknown Environment

Abstract:

Aiming to solve the problem of mobile robot path planning, environmental models are established by using grid method at first, each grid is treated as a neuron, and then the whole space is changed into a topology-form one with all neutral net. Secondly, biological inspired neural networks (BINN) method towards neutral net is adopted to complete path planning of mobile robot. Furthermore, non-optimal solutions potentially produced in neutral net are modified in BINN. Simulation experiments show the feasibility and effectiveness of BINN method.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1399-1402

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1399

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Online since:

August 2014

Authors:

Bo Zhu*, Zhong Min Wang, Zhao Lin Liu

Keywords:

Biological Inspired Neural Networks (BINN), Mobile Robot, Path Planning

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* - Corresponding Author

References

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