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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:
Sincere thanks for their contribution.
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.
Aligator, an efficient and versatile trajectory optimization library for robotics and beyond.
PyCppAD is an open-source framework 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.
A versatile and efficient C++ library for real-time constrained trajectory optimization
A support library for bindings between Eigen in C++ and Python, based on nanobind
C++ implementation of multiple predictive control schemes for locomotion based on the Aligator optimization solver
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
Implementation of the Kernel Sum-of-Squares optimization framework and various related solvers
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