Drake ("dragon" in Middle English) is a C++ toolbox started by the Robot Locomotion Group at the MIT Computer Science and Artificial Intelligence Lab (CSAIL). The :doc:`development team has now grown significantly </credits>`, with core development led by the Toyota Research Institute. It is a collection of tools for analyzing the dynamics of our robots and building control systems for them, with a heavy emphasis on optimization-based design/analysis.
While there are an increasing number of simulation tools available for robotics, most of them function like a black box: commands go in, sensors come out. Drake aims to simulate even very complex dynamics of robots (e.g. including friction, contact, aerodynamics, ...), but always with an emphasis on exposing the structure in the governing equations (sparsity, analytical gradients, polynomial structure, uncertainty quantification, ...) and making this information available for advanced planning, control, and analysis algorithms. Drake provides an interface to Python to enable rapid-prototyping of new algorithms, and also aims to provide solid open-source implementations for many state-of-the-art algorithms. Finally, we hope Drake provides many compelling examples that can help people get started and provide much needed benchmarks. We are excited to accept user contributions to improve the coverage.
We hope you find this tool useful. Please see :ref:`getting_help` if you wish to share your comments, questions, success stories, or frustrations. And please contribute your best bug fixes, features, and examples!
| Modeling Dynamical Systems | Solving Mathematical Programs | Multibody Kinematics and Dynamics |
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| doc | tutorial | doc | tutorial | doc |
We have Python tutorials implemented as Jupyter Notebooks in the tutorials directory of the source tree, with text explaining the high-level concepts and each of the main steps.
We have a number of use cases demonstrated in the examples directory of the source tree, and more available through our :doc:`gallery` (contributions welcome!).
We also have a number of examples of using Drake as a external library in your own projects, including examples with various build systems and examples of how you might set up continuous integration.
If you would like to cite Drake in your academic publications, we suggest the following BibTeX citation:
@misc{drake,
author = "Russ Tedrake and the Drake Development Team",
title = "Drake: Model-based design and verification for robotics",
year = 2019,
url = "https://drake.mit.edu"
}
The Drake developers would like to acknowledge significant support from the Toyota Research Institute, DARPA, the National Science Foundation, the Office of Naval Research, Amazon.com, and The MathWorks.
.. toctree:: :maxdepth: 1 gallery installation Tutorials <https://nbviewer.jupyter.org/github/RobotLocomotion/drake/tree/master/tutorials/> API Documentation (C++) <doxygen_cxx/index.html#://> API Documentation (Python) <pydrake/index.html#://> getting_help developers credits GitHub <https://github.com/RobotLocomotion/drake>
.. toctree::
:maxdepth: 1
python_bindings
julia_bindings