Mobile Robots Path Planning Based on Evolutionary Artificial Potential Fields Approach

DOI

10.2991/iccsee.2013.329How to use a DOI?

Keywords

virtual goal, artifical potential fields, local minimum point, matrix, path planning

Abstract

This paper presents a new way for mobile robots’ path planning which is based on the Evolutionary Artificial Potential Fields(EAPF) approach. The APF theory is a traditional method to plan path for a robot. The Evolutionary APF aims at helping a robot jump out of the local minimum point. Using a virtual goal to produce extra force and fixing the direction of the repulsive force are combined to prompt the robot to escape from the obstacle in different situations. The simulation result shows that the evolutionary method is effective for solving the local minimum problem.

Copyright

© 2013, 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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TY  - CONF
AU  - Feilong Li
AU  - Yujun Wang
AU  - Yan Tan
AU  - Gengyu Ge
PY  - 2013/03
DA  - 2013/03
TI  - Mobile Robots Path Planning Based on Evolutionary Artificial Potential Fields Approach
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1314
EP  - 1317
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.329
DO  - 10.2991/iccsee.2013.329
ID  - Li2013/03
ER  -