Cocofest is an optimal control python package for functional electrical stimulation models
A differentiable underwater vehicle dynamics.
Learning efficient goal-conditioned policies by imitating optimal trajectories
Reinforcement Learning with Model Predictive Control
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
Code of the IV2025 paper "Dynamic Objective MPC for Motion Planning of Seamless Docking Maneuvers" Author: Oliver Schumann
Nonlinear Progamming with CasADi
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
easy-peasy optimal flight trajectory
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
Collocation methods for trajectory optimization for second or higher order systems.
Model Predictive Control on vehicles
Spatial transformation library for CasADi Python.
Cocofest is an optimal control python package for functional electrical stimulation models
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