A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
- robotics
- dynamics
- analytical-derivatives
- kinematics
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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
- optimization
- nonlinear
- derivatives
- code-generation
automatic differentiation made easier for C++
- automatic-differentiation
- auto-differentiation
- autodiff
- autodifferentiation
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
- optimal-control
- model-predictive-control
- ilqr
- ilqg
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
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.
- automatic-differentiation
- aad
- algorithmic-differentiation
- autodiff
Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.