APLA-Toolbox / pymapf

πŸ“πŸ—ΊοΈ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
MIT License
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control mapf muli-agent-pathfinding multi-agent multi-agent-planning multi-agent-system planning plannng robotics
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# PyMAPF ✨ A Python toolbox for Multi-Agents Planning (Centralized and Decentralized) ✨
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[Report Bug](https://github.com/APLA-Toolbox/pymapf/issues) Β· [Request Feature](https://github.com/APLA-Toolbox/pymapf/issues) Loved the project? Please consider [donating](https://www.buymeacoffee.com/dq01aOE) to help it improve!

Features 🌱

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Dependencies πŸ–‡οΈ

Using the repository πŸ’Ύ

Using the pip package πŸ“¦

Usage πŸ“‘

Scripts πŸ’¨

Launch hub switch scripts using:

More to come...

Library πŸ—ΊοΈ

from pymapf.decentralized import MultiAgentNMPC
from pymapf.decentralized.position import Position
import numpy as np

sim = MultiAgentNMPC()
sim.register_agent("r2d2", Position(0, 3), Position(10, 7))
sim.register_agent("bb8", Position(0, 7), Position(5, 10))
sim.register_agent("c3po", Position(10, 7), Position(5, 0))
sim.register_obstacle(2, np.pi/4, Position(0, 0))
sim.run_simulation()
sim.visualize("filename_test", 10, 10)
from pymapf.decentralized.velocity_obstacle import MultiAgentVelocityObstacle
from pymapf.decentralized.position import Position

sim = MultiAgentVelocityObstacle(simulation_time=8.0)
sim.register_agent("r2d2", Position(0, 3), Position(10, 7))
sim.register_agent("bb8", Position(0, 7), Position(5, 10))
sim.register_agent("c3po", Position(10, 7), Position(5, 0))
sim.run_simulation()
sim.visualize("filename_test_2", 10, 10)

Cite πŸ“°

If you use the project in your work, please consider citing it with:

@misc{https://doi.org/10.13140/rg.2.2.14030.28486,
  doi = {10.13140/RG.2.2.14030.28486},
  url = {http://rgdoi.net/10.13140/RG.2.2.14030.28486},
  author = {Erwin Lejeune and Sampreet Sarkar},
  language = {en},
  title = {Survey of the Multi-Agent Pathfinding Solutions},
  publisher = {Unpublished},
  year = {2021}
}

List of publications & preprints using pymapf (please open a pull request to add missing entries):

Contribute πŸ†˜

Open an issue to state clearly the contribution you want to make. Upon aproval send in a PR with the Issue referenced. (Implement Issue #No / Fix Issue #No).

Maintainers Ⓜ️