There are 4 repositories under casadi topic.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab
Reinforcement Learning with Model Predictive Control
A toolkit for testing control and planning algorithm for car racing.
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
RBDL - Rigid Body Dynamics Library - ORB Version - The two main differences to the original rbdl is that this version has error handling and uses polymorphism for constraints
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
Implementing trajectory optimization on bipedal system
Learning-Based Model Predictive Control (LBMPC)
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
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 basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
ROS implementation for omnidirectional mobile robot tracking and navigation using Nonlinear MPC based on CasADi toolkit
『PythonとCasADiで学ぶモデル予測制御』 サポートサイト
The implement for the Quadrotor trajectory tracking using MPC with CasADi library
Julia interface to CasADi via PyCall
MPC pathtracking implementation with python, solved by PANOC/IPOPT
control theory repo
Model Predictive Controller for a quadcopter model using Acados nlp optimization
Collocation methods for trajectory optimization for second or higher order systems.
mystica is a Matlab library for simulating multi-body robots relying on a maximal coordinate approach
Spatial transformation library for CasADi Python.
This docker has Acados, Casadi, neural mpc and ROS Noetic for NVIDIA Jetson. It has been tested on a Jetson Nano and Jetson Orin NX
Nonlinear Progamming with CasADi
C++/python codes for contact-rich trajectory optimization.
Cocofest is an optimal control python package for functional electrical stimulation models
cmeel distribution for CasADi - a symbolic framework for numeric optimization