Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

GPU-friendly, auto-differentiable LQR solver with JAX.

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Differential Dynamic Programming controller operating in OpenAI Gym environment.

A toolbox for trajectory optimization of dynamical systems

This repository contains CartPole simulator with its GUI, implemented controller (LQR) and generator of random desired position trace. It also contains files to train and test RNN predicting future states of a CartPole.

LQR controller for quadrotors

This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible

Various Control Barrier Functions realized on cartpole.

An implementation of model-predictive control algorithms using TensorFlow 2

Contains simple MPC implementation with neural network learned dynamics.

Simulates the dynamics of a Reaction Wheel Inverted Pendulum with python.

Differentiable MPC in Chainer, developed as part of PFN summer internship 2019.

This research contains formulation and implementation of LQR (Linear Quadratic Regulator) Guidance for ship based net recovery of fixed wing UAVs

Implicit Differentiable Optimal Control (IDOC) with JAX

Control inverted pendulum by LQR in OpenAI Gym

A framework for implementing path tracking algorithms at ROS and Pyhton. Including implementations of three methods: Pure Pursuit, MPC, and LQR.

Developing a ROS-Package of a linear inverted pendulum with N-Links along with a controller and create Tutorials for the same.

Model-free policy gradient algorithm for LQR

An inverted pendulum control theory project