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adaptive-control-oriented-meta-learning

Adaptive control-oriented meta-learning for nonlinear systems

aruco_gridboard

Detection of ArUco Boards

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cdpr

control-toolbox

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

fault_tolerant_control

Vision-based quadrotor fault-tolerant flight controller.

gps

Guided Policy Search

gym-pybullet-drones

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

h-obca

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

high_mpc

Learning High-Level Policies for Model Predictive Control.

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

mpc-net

Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"

neural-physics-subspaces

Fit low-dimensional subspaces to physical systems with neural networks (SIGGRAPH 2023)

open-quadruped

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

optimtraj

A trajectory optimization library for Matlab

popi_project

Here is everything you need to know about POPI, our open-source quadruped robot. If you want to check the videos we will release about it, you can have a look at our YouTube channel.

quadrotorjuggling

Quadcopter juggling ball using Reinforcement Learning

reinforcement-learning-in-motion

Code repository for my course on the fundamentals of reinforcement learning

rl_quadcopter

Teaching a quadcopter to fly using Reinforcement Learning (DDPG algorithm) in Pytorch

roboclaw_dc_ros_control

DC motor ROS controller use roboclaw driver

roboclaw_ros

ros for roboclaw

rocket_landing_simulation_mpc

Simulated a rocket landing on Mars by implementing Model Predictive Control (MPC) with reference tracking

vicon_bridge

This is a driver providing data from VICON motion capture systems. It is based on the vicon_mocap package from the starmac stacks. Additionally, it can handle multiple subjects / segments and allows to calibrate an origin of the vehicle(s) as this is somehow tedious with the VICON Tracker.