Deep Reinforcement Learning Based Mobile Robot Navigation Using ROS2 and Gazebo

For robots

Model-Free Optimal Control Design Using Policy Iteration for LQR Problems - MATLAB

RL Extension Library for Robots, Based on IsaacLab.

A frontier exploration module implementied with ROS 2, C++, and Python.

Collection of best practices for working with Docker/Docker-Compose and the Robot Operating System (ROS/ROS 2) in simulation as well as with hardware and real-time requirements

RL based robust controller for quadrotor.

Loop shaping is used to design a controller for cart pendulum system

Low-level control of PX4 Multi-rotor vehicles in Offboard mode

Learning Agile Flights on SE(3): a novel deep SE(3) motion planning and control method for quadrotors. It learns an MPC's adaptive SE(3) decision variables parameterized by a portable DNN, encourag…

Quadrotor control, path planning and trajectory optimization

Quadcopter Controller with Deep Reinforcement Learning

A course in reinforcement learning in the wild

ROS2 Off-board drone control with a companion computer and PX4 over DDS (serial). Autonomous drone with path planning.

Recursive Gaussian Process regression allows performing GP regression, while also being able to add train the model at runtime

Training a drone for altitude control using Reinforcement Learning, ROS2, PX4, and Gazebo Harmonic

UAV control and SLAM with PX4, ROS 2 Jazzy, and Gazebo Harmonic, including RL environments and YOLO-based perception and 2D lidar.

Learning Quadrotor Control From Visual Features Using Differentiable Simulation

Quickly train accurate Hamiltonian Neural Networks with data-driven random features on CPUs.

Code for "Sample-efficient leaning of quantum interactions"

ROS2 based custom robotic arm with ros2_control

Adaptive dynamic programming

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

Nonlinear Model-Predictive Control on Resource-Constrained Microcontrollers

MPC implementation using acados integrated with with PX4 on ROS2

Nonlinear Model Predictive Controller ROS2

NMPC controller for trajectory tracking and obstacle avoidance

Creation, simulation and real-life deployment of a Model Prective Control for a quadrotor to pass through moving gates

A high-performance quadrotor deep reinforcement learning platform built upon IsaacGym.