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Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following Through the Fusion of Continuous ACO and PSO

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Advances in Swarm Intelligence (ICSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10386))

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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.

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Correspondence to Chia-Feng Juang .

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Lai, MG., Juang, CF., Chung, IF. (2017). Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following Through the Fusion of Continuous ACO and PSO. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-61833-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61832-6

  • Online ISBN: 978-3-319-61833-3

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