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Cooperative localization by using knowledge of self-organized regularity

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Abstract

In this article, a new localization approach for a team of robots that use the emergent properties of their formation is proposed. Synchronized behavior sometimes generates spin-off effects that include geometric patterns. The question then arises as to whether it is possible to use these patterns for something important for robots. In this article, Takayama’s control strategy, which is a target enclosure formation, is discussed. A simple and useful expansion of Monte Carlo localization by the emergent pattern is proposed. The proposed algorithms are confirmed through a series of computer simulations.

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Authors and Affiliations

  1. Computer Science, National Defense Academy of Japan, Yokosuka, Japan

    Masao Kubo, Takashi Matsubara, Satoshi Shimizu & Hiroshi Sato

Authors
  1. Masao Kubo
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  2. Takashi Matsubara
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  3. Satoshi Shimizu
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  4. Hiroshi Sato
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Corresponding author

Correspondence to Masao Kubo.

Additional information

This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010

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Kubo, M., Matsubara, T., Shimizu, S. et al. Cooperative localization by using knowledge of self-organized regularity. Artif Life Robotics 15, 207–211 (2010). https://doi.org/10.1007/s10015-010-0794-7

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  • DOI: https://doi.org/10.1007/s10015-010-0794-7

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