ROS Motion Planning is a ROS planner plugin collection that implements path searching and trajectory optimization algorithms for autonomous ground vehicles and mobile robots.
The project addresses the computational problem of finding valid robot motion sequences from source to destination. It separates this into two components: path searching, which finds collision-free optimal paths given obstacle constraints, and trajectory optimization, which refines those paths according to kinematics, dynamics, and obstacles. The repository provides implementations of numerous algorithms spanning both categories, including A*, JPS, D*, LPA*, D* Lite, Theta*, RRT variants, ACO, PSO, Voronoi-based methods, and control approaches like PID, LQR, MPC, DWA, APF, and Pure Pursuit.
This tool suits robotics projects using ROS that need multiple motion planning algorithm options integrated as plugins. It is particularly valuable for developers comparing different planning approaches or building systems that can switch between algorithms. The project provides equivalent implementations in Python and MATLAB, allowing developers to prototype in those languages before deploying in ROS. Users should be aware that configuration is managed through a YAML file rather than launch files directly, since launch files are regenerated from this configuration during execution.
The project maintains active engagement with users through issue resolution, including documented solutions for common dependency problems. Development activity shows responsiveness to user needs and a commitment to keeping the codebase functional across supported environments. The repository welcomes community contributions through stars, forks, and pull requests, indicating openness to external participation.
