Python implementation of a bunch of multi-robot path-planning algorithms.
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Updated
Apr 5, 2023 - Python
Python implementation of a bunch of multi-robot path-planning algorithms.
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
Iterative Refinement for Real-Time Multi-Robot Path Planning (IROS-21)
Multi-agent pathfinding via Conflict Based Search
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
Engineering LaCAM*: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding (AAMAS-24)
simple multi-agent pathfinding (MAPF) visualizer for research usage
Conflict-based search for multi-agent path finding (MAPF)
Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).
Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding (AAAI-23)
A solution of Multi-Agent Path Finding problem
Based on David Silver's paper "Cooperative Pathfinding"
Minimal Python implementation of PIBT for MAPF
Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding (IJCAI-23)
Minimal Python implementation of LaCAM* for MAPF
(IJRR) Mixed Strategy Nash Equilibrium for Crowd Navigation
The purpose of this simulator is simulates and allows visualization of the evacuation process of people located in buildings during emergencies.
The Ranking Cost algorithm for multi-path routing of gridworld.(多智能体路径规划,电路规划)
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
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