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Python implementation of a bunch of multi-robot path-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.
A framework to simulate systems of agents in Lua on a 2D grid map, with modules for describing agent behavior and communication. A working example of a taxi fleet is given.
The "basic" version uses conventional belief-desire-intention module (BDI.lua) for agent programming and a textual I/O.
The "basic_EFSSM" version uses only state-oriented programming for agents. (Available soon.)
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Ribas-Xirgo, Ll.: Multi-agent system model of taxi fleets.