Multi-Agent Path Planning for Unmanned Aerial Vehicle Based on Threats Analysis

@article{Lei2011MultiAgentPP,
  title={Multi-Agent Path Planning for Unmanned Aerial Vehicle Based on Threats Analysis},
  author={Gang Lei and Min-zhou Dong and Tao Xu and Liang Wang},
  journal={2011 3rd International Workshop on Intelligent Systems and Applications},
  year={2011},
  pages={1-4}
}
This paper focuses on the flight path planning process with multi-agent for Unmanned Aerial Vehicle (UAV) based on threats analysis and path length constraint. Path planner agent searches the path with global view considering path length constraint and information collector agent deals with path planning in the zone of threats. Scoring function is presented based on analysis the threats' attributes. We consider the path planning process as the multi-agent cooperation in a dynamic and non… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-8 of 8 references

BARTO, “Reinforcement learning: an introduction[M]”, London:MIT Press,2005

  • A.G.R.S. SUTTON
  • 2005
Highly Influential
3 Excerpts

Research of Aircraft Route Planning and Evaluation Algorithm

  • W. Qi
  • Harbin:Harbin Institute of Technology,
  • 2007

Introduction to UAV Systems

  • P. G. Fahlstrom, T. J. Gleason
  • UAV Systems,
  • 1998
1 Excerpt

Learning Mixed Equilibria

  • D. Fudenberg, D. Kreps
  • Games and Economic Behavior,
  • 1993
1 Excerpt

SUTTON, “Integrated Architectures for Learning Planning, and Reacting Based on Approximating Dynamic Programming

  • R S.
  • In ICML'90,
  • 1990
1 Excerpt

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