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Pheromone Inspired Morphogenic Distributed Control for Self-organization of Autonomous Aerial Robots

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Book cover Advances in Swarm Intelligence (ICSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10385))

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Abstract

A central issue in distributed formation of swarm is enabling robots with only a local view of their environment to take actions that advance global system objectives (emergence of collective behavior). This paper describes a bio-inspired control algorithm using pheromone for coordinating a swarm of identical flying robots to spatially self-organize into arbitrary shapes using local communication maintaining a certain level of density.

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Acknowledgments

This work was supported by a 2017 research grant from Youngsan University, Republic of Korea.

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Authors and Affiliations

  1. Department of Intelligent Robotics, Youngsan University, 288 Joonam-ro, Yangsan, South Korea

    Kiwon Yeom

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  1. Kiwon Yeom
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Correspondence to Kiwon Yeom .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Yeom, K. (2017). Pheromone Inspired Morphogenic Distributed Control for Self-organization of Autonomous Aerial Robots. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-61824-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61823-4

  • Online ISBN: 978-3-319-61824-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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