An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
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Updated
Jul 31, 2023 - C++
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
A trajectory planning framework for multiple robots: paper accepted in IEEE T-RO
Conflict-based search for multi-agent path finding
Code accompanying the RA-L / ICRA 2020 paper: "Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning"
Conflict-based search for multi-agent path finding (MAPF)
Total War Battle simulator for AI research
Stochastic Conflict-Based Allocation
Repository associated with paper titled "AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments", presented at IEEE ICRA 2023.
The multiagent extension for the PDDL parser
Open-source framework for adaptive manufacturing processes scheduling
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
Conflict-based search for optimal multi-agent pathfinding
Multi-agent motion planning packages (HDSM method)
Scalable MCTS for team scenarios
naive implementations of Multi-Agent Path Finding algorithms
Factored Interactive POMDP solver based on symbolic Perseus.
The ProSeCo Planning C++ library
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
Implementation of Popular Swarm Intelligence Models
Multiboat minimum makespan formation planning
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