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
Code accompanying the RA-L / ICRA 2020 paper: "Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning"
Multi-agent motion planning packages (HDSM method)
Conflict-based search for multi-agent path finding (MAPF)
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
naive implementations of Multi-Agent Path Finding algorithms
The ProSeCo Planning C++ library
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
Multi-agent scenario with decentralized planning
Predict the cost of a CMAPD assignment with XGBoost regression
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