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quadcopter-simulation

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This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨‍🏫

  • Updated Sep 2, 2020
  • Jupyter Notebook

This repository provides a setup for quadcopter waypoint tracking using ROS2, Gazebo, and PX4. It includes a Docker file to automate the installation of ROS2, Gazebo, PX4, and QGroundControl, along with a development container for streamlined workflow. The system enables the quadcopter to track waypoints defined by the user.

  • Updated Apr 22, 2025
  • Python

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