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.

Inverted Pendulum Simulation

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

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

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

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

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

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.

基于神经网络的一阶倒立摆控制

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

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

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

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

Inverted pendulum simulation on the terminal using c

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

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.