🏎 Waypoint and planner tools for ROS 2 with minimal dependencies.

A tool to play and handle pre-recorded motions in ROS2

A simple controller tracking x, y, and yaw

Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.

Model Predictive Control (MPC) based waypoint tracking controller (ROS navigation stack local planner plugin)

This project contains C++ Fotokite Pro library. Fotokite Pro is a tethered unmanned aerial vehicle by Perspective Robotics. This library can be used to get telemetry data from Fotokite and to send commands to Fotokite. It also supports waypoint navigation that can handle multiple tether contact points with obstacles.

This is the final project in Udacity's Self-Driving Car Engineer Nanodegree where we will implement ROS nodes to control Carla - Udacity's self-driving car.

experimental

CarND Term 2 Model Predictive Control (MPC) Project

Udacity Flying Car Nanodegree First Project

Using a Sony PS3 gamepad controller to drive the PicoBot

ROS nodes to implement the core functionality of the autonomous vehicle system.

Capstone Project : In this project, we implement a Real Self Driving Car in python to maneuver the vehicle around the track while following the traffic rules.

make ROSbot XL to follow waypoints

Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization

Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.

A techdemo showing an AI friendly destructible terrain for side-scrolling games. It works by using a waypoint net that is both used for AI players and rendering the landscape.

Finite state machine (event-driven programming) implementation for autonomously flying a drone