Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Reaction wheel inverted pendulum project based on the Arduino Simple FOC library and SimpleFOC shied.

An inverted pendulum that jumps and balances. It's a simplified version of the Cubli that you can build yourself.

LQR, MPC and DRL approaches to control the Furuta pendulum.

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Inverted Pendulum Simulation

This is the Simulation(Animation) of Inverted Pendulum's Swing up & Balance Control, For Swing up Control: Energy based Collocated Feedback Linearization Control, For Balance it at a top: LQR Control

基于神经网络的一阶倒立摆控制

This is an opensource project of Inverted pendulum based on inertial wheel. The repo contains all the software needed, stl and cad files and instructions.

Software for controlling and analysing T-Bots (Balancing robots)

Control an inverted pendulum (Segway robot) with an Arduino & RaspberryPi

Exercise solutions for Daniel Liberzon's "Calculus of Variations and Optimal Control Theory: A Concise Introduction" book and other optimal control problems

Building self-balancing robot using LQR controller

Inverted pendulum simulation on the terminal using c

Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN

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

Calculates an optimal LQR controller for a noisy inverted pendulum and simulates the result.

IsaacGym envs for a two wheeled inverted pendulum robot (TWIP) and a flywheel inverted pendulum robot

Simulink implementations of sliding mode and LQR controller for rotary inverted pendulum

Self Balancing Robot with PSO based self tuned PID controller

Inverted Pendulum in python with pybox2d. Fuzzy and PID simulation included.

The goal of this application is to develop a LQR based controller to balance an inverted pendulum. This application is developed as part of the second homework assignment in the course SES 598: Autonomous Exploration Systems at Arizona State University. The LQR function is provided by the python-controls toolbox.

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

An inverted pendulum control theory project

Stabilizing an Inverted pendulum using Fuzzy logic/PID/LQR FSF

Hybrid control system using LQR and hardware in loop

C# source code for simulation of the cart and pole balancing task.

Kinematic and dynamic modelling of a cable-driven parallel robot used to control an inverted pendulum. Development of a controller to stabilise the pendulum in its vertical unstable position by means of linear quadratic regulators. Validation of the controller in simulation, so it can maintain the equilibrium position despite the appearance of unmodelled disturbances or noise in the signals from the sensors.

Design of a Linear Quadratic Regulator balance controller for the Inverted Pendulum. After manually initializing the pendulum in the upright vertical position, the balance controller moves the rotary arm to keep the pendulum in this upright position. Moreover it is capable of balancing itself, even if minor external disturbances are given.

My work designing and developing a two-wheeled balancing robot from the ground up. The project was guided by Prof. Dan Block at UIUC (C)