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 :ref:`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 :ref:`motion_planners_page` and :ref:`samplers_page` are implemented. .. toctree:: :caption: Guide :maxdepth: 3 quick-start cli add-environment .. toctree:: :caption: Implemented SBPs :maxdepth: 3 planners samplers .. toctree:: :caption: Planning environment :maxdepth: 3 engines visualisers .. toctree:: :caption: Others :maxdepth: 3 misc support Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`