PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Nonlinear Model Predictive Control for Quadrotor

Neural Networks with CasADi

Reinforcement Learning with Model Predictive Control

Nonlinear Progamming with CasADi

An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem

adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Collocation methods for trajectory optimization for second or higher order systems.

Spatial transformation library for CasADi Python.

Cocofest is an optimal control python package for functional electrical stimulation models

Cocofest is an optimal control python package for functional electrical stimulation models

This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️ ✈️

A class to integrate ordinary differential equations using cvodes

Rigid transform using Lie groups and Dual Quaternions, written in CasADi!

Casadi-based MPC implemented for acceleration based control, complete with a ROS Interface and polygonal SDFs for generalization.

Version 2.0 of Kineverse, a framework for modeling kinematics for robotic manipulation and control.

A toolkit for testing control and planning algorithm for car racing.

MPC pathtracking implementation with python, solved by PANOC/IPOPT

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python