Fuzzy-enhanced path-finding algorithm for AGV roadmaps
Sarah Uttendorf, Ludger Overmeyer
Available Online June 2015.
- https://doi.org/10.2991/ifsa-eusflat-15.2015.96How to use a DOI?
- Path- finding algorithm, fuzzy-logic, expert system, AGV, road maps.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ifsa-eusflat-15.2015.96 ID - Uttendorf2015/06 ER -