Sampling-based Motion Planners’ Testing Environment
Here is where sbp-env’s documentation, the Sampling-based Motion Planner
Benchmark suite, lies.
To quickly get started, see the Quick Start guide.
For various documentation of th implemented planners and samplers, checkout the
corresponding sections from the side bar.
The code is hosted in a repository, and the implementation requires Python 3.7+. The code comes with some example environments, and in addition, several state-of-the-art sampling-based Motion Planners and C-space Samplers are implemented.
Guide
Implemented SBPs
Planning environment