A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
- robotics
- dynamics
- analytical-derivatives
- kinematics
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A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
automatic differentiation made easier for C++
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
A general library for geometry operations of union, intersections, difference, and xor