Fuzzy-enhanced path-finding algorithm for AGV roadmaps

DOI

10.2991/ifsa-eusflat-15.2015.96How to use a DOI?

Keywords

Path- finding algorithm, fuzzy-logic, expert system, AGV, road maps.

Abstract

Path-finding algorithms (PFA) are successfully used to find the optimal path between two locations. Good results are obtained if they are used in scenarios where the entire environment can be described mathematically. Production environments of automated guided vehicles (AGVs) are not one of those. PFA find solutions that are mathematically correct but miss human expertise that would dismiss solutions of the algorithm that aren’t applicable to a real production layout. This paper presents a hybrid algorithm consisting of an A* algorithm, and a fuzzy logic control in order to generate a fuzzy-enhanced A* algorithm (FEA*) that produces efficient and applicable road maps for AGVs. First computational results are shown.

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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TY  - CONF
AU  - Sarah Uttendorf
AU  - Ludger Overmeyer
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy-enhanced path-finding algorithm for AGV roadmaps
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 675
EP  - 681
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.96
DO  - 10.2991/ifsa-eusflat-15.2015.96
ID  - Uttendorf2015/06
ER  -