multiagent-pathfinding

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multiagent-pathfinding

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Conflict-based search for multi-agent path finding

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최종 버전 다운로드 (.zip)

- grid_agent.cpython-35.pyc
- world.cpython-35.pyc
- belief.py
- experiment.py
- grid_agent.py
- grid_agent.pyc
- macros.py
- macros.pyc
- visualize.py
- visualize.pyc
- world.py
- world.pyc
astar.py
cbsearch.py
gworld.py
LICENSE
m_astar.py
macros.py
pqueue.py
pqueue0.py
README.md
ta_test.py
tb_test.py
test.py
ts_astar_test.py
visualize.py

// repository documentation

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# ECE6504 Autonomous Coordination - Presentation One
# Centralized methods for Multi-Agent Path Finding

Implementation of Multi-Agent Path Finding in a gridworld simulation.

- Find independent paths for each agent without considering other agents
    - Uses space-time A* for low-level search.
- Make reservations in a space-time reservation table
- Check all paths against the table for conflicts with other agents.
- When a conflict is found, add a constraint to the agent's low-level path planning and re-plan.

- To avoid agents passing right through each other, currently each agent makes multiple reservations in the reservation table.
- This sometimes causes a noticeable delay, where one or more agents may end up waiting in their location although a path is clearly  available.
- To fix this, I need to be able to add two different sorts of constraints as in the original Conflict Based Search paper - for vertext collisions and edge collisions.

- Link to YouTube video: https://youtu.be/b5KMm729b_4

--
The A* priority queue is from this gridworld simluator on GitHub: https://github.com/TheLastBanana

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