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multi-agent-path-planning-based-on-game-theory-in-warehousing's Introduction

Multi-agent-path-planning-based-on-Game-Theory-in-warehousing

Warehous_map

Simulation_1(Python_TK)

map_2

Simulation_2(Gazobo)

gazebo_map

Requirements

  • python=3.5
  • tk=8.5.18
  • numpy=1.13
  • casadi=3.5
  • Aws_model:Download

Note

  • This is an example of generalized Nash equilibrium search.
  • It works better for convex problems.
  • Now that all the work has been done, my four-year undergraduate life is over.
  • Memories are pearls, wish you all the best.

multi-agent-path-planning-based-on-game-theory-in-warehousing's People

Contributors

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Stargazers

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