Student Classroom Behavior dataset

Final project for 'ECE6554: Adaptive Control' at Georgia Tech | Implemented Model Reference Adaptive Control (MRAC) system on a Parrot quadcoptor | Matlab Simulation Code

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

An Implementation of the REINFORCE Algorithm for Solving OpenAI Gymnasium Environments

How to Learn Reinforcement Learning: A Step-by-step Guide

Optical Flow motion detection with an ESP32 Camera chip (and other related stuff)

Consensus and formation simulations of swarm robots.

"Rendez-vous" algorithm for multi mobile-robotics control

OpenVLA: An open-source vision-language-action model for robotic manipulation.

URDF and meshes for the Franka Emika Panda robot

Gym-like environment to interact with manipulator robots

Control Barrier Functions in Python and Jax

Loose taxonomy of reinforcement learning algorithms

Clean PyTorch implementations of imitation and reward learning algorithms

A curated collection of reinforcement learning resources

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

Pybullet codes for robotics

Unsolved Programming Assignments and Projects for Deep Learning Specialization Coursera

A robotic arm that learns to pick and place objects using reinforcement learning.

Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.

Exploring non-gradient-based learning techniques for training neural networks, using brute force parameter search and optimization methods. Includes comparison with gradient-based learning.

An Open Flexible Quadrotor Simulator

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Code for the Nerf Navigation Paper. Implements a trajectory optimiser and state estimator which use NeRFs as an environment representation

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

Low cost motion capture system for room scale tracking