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https://github.com/yijiangh/pybullet_planning

A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
https://github.com/yijiangh/pybullet_planning

planning-tool pybullet robotics-simulation

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A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.

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README

        

=================
pybullet_planning
=================

.. start-badges

.. image:: https://readthedocs.org/projects/pybullet-planning/badge/?version=latest
:target: https://pybullet-planning.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status

.. image:: https://github.com/yijiangh/pybullet_planning/workflows/integration/badge.svg
:target: https://github.com/yijiangh/pybullet_planning/actions
:alt: Github Actions Integration Status

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:alt: Coveralls

.. image:: https://img.shields.io/badge/License-MIT-blue.svg
:target: https://github.com/yijiangh/pybullet_planning/blob/dev/LICENSE
:alt: License MIT

.. image:: https://img.shields.io/badge/pybullet->=3.1.7-ff69b4
:target: https://github.com/bulletphysics/bullet3
:alt: pybullet version

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.. Write project description

**pybullet_planning** is a suite of utility functions to facilitate robotic planning related research on
the `pybullet `_ physics simulation engine.
Planning research made easy.

Main features
-------------

* easy-to-use functions to connect with pybullet, tailored for task and motion planning research
* built-in implementations of standard motion planners, including PRM, RRT, biRRT, A* etc.

Getting Started
---------------

**pybullet_planning** can be installed using ``pip``:

::

pip install pybullet_planning

.. note::

On Windows, you may need to install `Microsoft Visual C++ 14.0 `_, if pybullet installation fails.

Once the installation is completed, you can verify your setup.
Start Python from the command prompt and run the following:

::

>>> import pybullet_planning as pp

First Steps
---------------

* `Documentation `_

Examples can be found at the `unit tests `_.
You will be need to install ``pytest`` to run these tests (``pip install pytest``).

Then, individual tests can be run by using their `pytest markers `_ by:

::

pytest -s -m collision_fn --viewer
pytest -s -m motion_planning_2D --viewer

Additional pytest-free examples can be found at `pybullet_planning_tutorials `_.

Contributing
------------

Check the `Contributor's Guide <./CONTRIBUTING.rst>`_ for more details.

PyBullet Resources
-------------------

* Github - https://github.com/bulletphysics/bullet3
* Quickstart - https://docs.google.com/document/d/10sXEhzFRSnvFcl3XxNGhnD4N2SedqwdAvK3dsihxVUA/
* Forum - https://pybullet.org/Bullet/phpBB3/
* Wordpress - https://pybullet.org/wordpress/
* Examples - https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet/examples
* Bindings - https://github.com/bulletphysics/bullet3/blob/master/examples/pybullet/pybullet.c
* Predecessors - `pybullet-planning`_, `motion-planners`_.

Credits
-------------

Caelan Reed Garrett. PyBullet Planning. https://pypi.org/project/pybullet-planning/. 2020.

This package was initiated and maintained by Caelan Garrett `@caelan `_
and other `contributors `_.

History
-------------

This repo is a stable and documented fork of Caelan's `pybullet-planning`_
(previously called `ss-pybullet`) and `motion-planners`_.
New features will continue to be introduced first through these separate repos, and integrated into the current package later.

.. _pybullet-planning: https://github.com/caelan/pybullet-planning
.. _motion-planners: https://github.com/caelan/motion-planners