julia-bel/MAPF_G2RL
Implementation of the G2RL approach in the POGEMA environment
This project helps operations engineers and robotics researchers efficiently guide multiple autonomous agents through a 2D grid environment with obstacles. It takes information about the grid layout and the agents' movements, then provides optimized paths for each agent. The goal is to minimize total steps and prevent collisions, making it useful for simulating and planning robotic movements.
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Use this if you need to test and optimize pathfinding for several mobile robots or automated vehicles navigating a confined, obstacle-filled space.
Not ideal if your agents operate in dynamic 3D environments, require complex task coordination beyond pathfinding, or if you need to handle constantly changing obstacles rather than static ones.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 05, 2024
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