@inproceedings{b02f89c3046a40f2b17d845d85e6fe3b,
title = "Evolutionary fuzzy control of three robots cooperatively carrying an object for wall following through the fusion of continuous ACO and PSO",
abstract = "This paper proposes evolutionary fuzzy control of three robots cooperatively carrying an object in executing a convex wall following behavior. The object is not connected to the robots and may fall off for a failed control. Evolutionary fuzzy control of a single robot for wall following is first performed. Then, evolutionary fuzzy control of two robots cooperatively carrying a long strip object along the wall is performed. For the carry of a larger object for wall following, a third robot is included to cooperate with the two successfully controlled robots. Fuzzy controller of the third robot is also learned through a data-driven evolutionary learning approach. To improve learning efficiency of the FC, the swarm intelligence algorithm of adaptive fusion of continuous ant colony optimization and particle swarm optimization (AF-CACPSO) is employed. Simulations show the effectiveness of the evolutionary fuzzy control approach for the three cooperative object-carrying robots.",
keywords = "Ant colony optimization, Control, Evolutionary fuzzy systems, Evolutionary robots, Fuzzy, Optimization, Particle, Swarm",
author = "Lai, {Min Ge} and Juang, {Chia Feng} and Chung, {I. Fang}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; null ; Conference date: 27-07-2017 Through 01-08-2017",
year = "2017",
doi = "10.1007/978-3-319-61833-3_23",
language = "English",
isbn = "9783319618326",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "225--232",
editor = "Ben Niu and Hideyuki Takagi and Yuhui Shi and Ying Tan",
booktitle = "Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Proceedings",
address = "Germany",
}