Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Study of Path Planning Algorithm Based on Fuzzy Logic

Authors
Dianhua Zhang, Yimin Chen, Chen Huang, Mingke Gao
Corresponding Author
Dianhua Zhang
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.24How to use a DOI?
Keywords
Path planning; Fuzzy logic; Trafficability factor; Terrain grid; Rugged road
Abstract

The path planning problem is an important problem in the research area of robot, games and group animation. However, the current path planning algorithms don't consider practical problems such as roughness, gradient, and barrier height etc. This paper shows a 2.5-dimensional terrain grid which can reduce the amount of computation. By applying the fuzzy logic theory, the terrain trafficability of the rugged road can be evaluated based on different gradient, roughness, elevation difference; the trafficability factor can be achieved and applied to the heuristic function. The improved algorithm can solve the symmetry problem of path planning on uneven surfaces, reduce the search space, and improve the search speed.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.24How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dianhua Zhang
AU  - Yimin Chen
AU  - Chen Huang
AU  - Mingke Gao
PY  - 2015/07
DA  - 2015/07
TI  - Study of Path Planning Algorithm Based on Fuzzy Logic
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 122
EP  - 126
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.24
DO  - 10.2991/lemcs-15.2015.24
ID  - Zhang2015/07
ER  -