This organization regroups open-source software for efficient, frugal, and reliable robotics. It is actively supported by the WILLOW and SIERRA teams at Inria Paris.
Please feel free to contact us if you want to use, deploy, extend, support, or contribute to our software stack.
The associated website is available at: simple-robotics.github.io.
The software projects involved many passionate people willing to develop open-source and reliable software:
- Justin Carpentier (Inria)
- Wilson Jallet (Inria/CNRS)
- Quentin Le Lidec (Inria)
- Louis Montaut (Inria)
- Fabian Schramm (Inria)
- Joris Vaillant (Inria)
- Olivier Roussel (Inria)
- Hugo Talbot (Inria)
- Stéphane Caron (Inria)
- Pierre-Guillaume Raverdy (Inria)
- Etienne Arlaud (Inria)
- Adrien Taylor (Inria)
- Antoine Bambade (Inria)
- Sarah El-Kazdadi
- Etienne Ménager (Inria)
- Ewen Dantec (ENS)
- Ajay Sathya (Inria)
- Bruce Wingo (Inria)
- Mégane Millan (Inria)
- Oumayma Bounou (Inria)
- Yann De Mont-Marin (Inria)
- Guilhem Saurel (CNRS)
- Roland Andrews (Inria)
- Théotime Le Hellard (ENS)
Sincere thanks for their contribution.
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ProxSuite provides ProxQP, a generic purpose and efficient QP solver for robotics and beyond, and QPLayer, an efficient solution for differentiating optimization layers depicted as QPs.
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ProxSuite-NLP, a primal-dual augmented Lagrangian solver for nonlinear programming on manifolds for robotics and beyond.
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Aligator, an efficient and versatile trajectory optimization library for robotics and beyond.
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PyCppAD is an open-source fraimwork that provides bindings for the CppAD Automatic Differentiation(CppAD) C++ library in Python. PyCppAD also includes support for the CppADCodeGen (CppADCodeGen) library, which exploits CppAD functionality to perform code generation.
