📚 Course Modules

1. Introduction to ROS

• What is ROS / ROS2?
• ROS architecture: nodes, topics, services, actions, parameters
• Applications in drones, delivery robots, and autonomous systems
• ROS distributions (Humble, Iron)

2. ROS2 Environment Setup

• Installing ROS2 on Ubuntu
• Workspace & package structure (colcon, ament)
• Using Docker for ROS environments
• Hands-on: Setting up first ROS2 workspace

3. Nodes, Topics & Communication

• Writing publishers & subscribers (Python & C++)
• Message types & custom messages
• Services & actions explained
• Launch files & parameter configuration
• Hands-on: Create a simple ROS2 talker/listener system

4. Sensors & Actuators Integration

• Interfacing LiDAR, IMU, GPS, Cameras
• Reading sensor data in ROS2
• Controlling motors, servos, ESCs
• Hands-on: Build a sensor-data visualizer in RViz2

5. Simulation & Visualization

• Gazebo / Ignition simulation for robots & drones
• RViz2 visualization for sensor data
• Creating custom worlds & environments
• Hands-on: Simulate a drone in Gazebo

6. Navigation & SLAM

• ROS2 Navigation Stack (Nav2)
• Mapping (SLAM toolbox, Cartographer)
• Path planning & obstacle avoidance
• Hands-on: Implement autonomous navigation in simulation

7. Drone-Specific ROS2 Applications

• PX4 & ArduPilot integration with ROS2 (via MAVROS / micro-ROS)
• Flight modes & mission planning
• Autonomous takeoff, landing, waypoint navigation
• Hands-on: Control a ROS2-enabled drone in simulation

8. Advanced Topics

• Multi-robot systems & swarm robotics
• Real-time ROS2 (DDS, QoS policies)
• ROS2 with AI/Computer Vision (YOLO, OpenCV)
• Cloud robotics & ROS2 with edge computing

9. Deployment on Hardware

• Running ROS2 on Raspberry Pi / Jetson / ESP32 (micro-ROS)
• Network setup (ROS2 over Wi-Fi / 5G / mesh)
• Debugging & monitoring tools (rqt, ros2doctor)
• Hands-on: Deploy a ROS2 system on a physical drone/robot

🎓 Course Duration & Format

• Beginner: 4 weeks (ROS basics, nodes, topics, simulation)
• Intermediate: 6 weeks (sensor integration, navigation, Gazebo simulation)
• Advanced: 8–12 weeks (autonomous drones, AI integration, swarm robotics)
• Method: Classroom lectures + Coding labs + Simulation + Real hardware