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Geometric methods for multi-agent collision avoidance

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Published:13 June 2010Publication History

ABSTRACT

We present an approach to reciprocal collision avoidance, where multiple mobile agents must avoid collisions with each other while moving in a common workspace. Each agent acts fully independently, and does not communicate with others. Yet our approach guarantees that all agents will be collision-free for at least a fixed amount of time. Our approach provides a sufficient condition for collision-free motion. Given the agent's objective, the optimal collision-free action can be computed very efficiently, as it is the solution to a two-dimensional linear program. We show our approach on dense and complex simulation scenarios involving thousands of agents at fast real-time running times.

References

  1. P. Fiorini and Z. Shiller. Motion planning in dynamic environments using velocity obstacles. In IJRR, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  2. S. M. LaValle. Planning Algorithms. Cambridge University Press, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. van den Berg, S. J. Guy, M. Lin, and D. Manocha. Reciprocal n-body collision avoidance. In ISRR, 2009.Google ScholarGoogle Scholar

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  1. Geometric methods for multi-agent collision avoidance

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    • Published in

      cover image ACM Conferences
      SoCG '10: Proceedings of the twenty-sixth annual symposium on Computational geometry
      June 2010
      452 pages
      ISBN:9781450300162
      DOI:10.1145/1810959

      Copyright © 2010 Copyright is held by the author/owner(s)

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 June 2010

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