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Robotics

Autonomous Drone Navigation with ROS2

6 weeks
0 Learners
eulerfoldeulerfold
Jul 23

“Programming real robots with the Robot Operating System: from sensor fusion to path planning. This comprehensive curriculum is designed to give you hands-on experience with Autonomous Drone Navigation with ROS2.”

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About this Course

Programming real robots with the Robot Operating System: from sensor fusion to path planning. This comprehensive curriculum is designed to give you hands-on experience with Autonomous Drone Navigation with ROS2. This Robotics curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 6 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Set up a ROS2 workspace and create nodes that publish and subscribe to telemetry data.
Combine IMU and visual odometry data to estimate the drone's position in 3D space.
Implement algorithms to safely navigate a drone from point A to point B.
Simulate a drone in Gazebo, implement basic SLAM, and execute an autonomous waypoint mission.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • Familiarity with core concepts

Ideal for

Robotics Engineers & Hobbyists

Robotics Professionals
Tech Enthusiasts
W1

ROS2 Nodes, Topics, and Messaging

Set up a ROS2 workspace and create nodes that publish and subscribe to telemetry data.

3 videos•35m
2 readings
3 topics
1 homework
Learn

Topics

1.1
The ROS2 Architecture
11 minutes
1.2
Writing Publishers and Subscribers
14 minutes
1.3
Custom Message Types
10 minutes

Study Resources

→Understanding nodes — ROS 2 Documentation: Rolling documentation→Running ROS 2 Publisher and Listener Demo in Google Colab
W2

Sensor Fusion & Odometry

Combine IMU and visual odometry data to estimate the drone's position in 3D space.

3 videos•31m
3 readings
3 topics
1 homework
Learn
W3

Path Planning & Obstacle Avoidance

Implement algorithms to safely navigate a drone from point A to point B.

3 videos•58m
2 readings
3 topics
1 homework
Learn
W4

Simulation, SLAM & Autonomous Flight

Simulate a drone in Gazebo, implement basic SLAM, and execute an autonomous waypoint mission.

3 videos•59m
2 readings
3 topics
1 homework
Learn
W5

Sensor Fusion & State Estimation

Combine IMU, GPS, and Vision data using a Kalman Filter to accurately track the drone's position.

3 videos•65m
3 readings
3 topics
1 homework
Learn
W6

Simultaneous Localization and Mapping (SLAM)

Enable a drone to map an unknown environment and navigate using LiDAR or visual odometry.

3 videos•53m
2 readings
3 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

References

01Understanding nodes — ROS 2 Documentation: Rolling documentation
02Running ROS 2 Publisher and Listener Demo in Google Colab
03Extended-Kalman-Filter-ros2-sensor-fusion/README.md at main ...
04samshoni/Extended-Kalman-Filter-ros2-sensor-fusion - GitHub
05Sensor Fusion and Localization in ROS2: Understanding and ...
06Autonomous Drone Navigation using A* Path Planning + ROS...
07Top autonomous-navigation Repositories - GitHub Projects... | Git Stars
08GitHub - harshnayakal/Autonomous-Warehouse-Mobile-Robot: An...
09Drone Simulation Using ROS 2 and Gazebo
10Sensor Fusion and State Estimation | Physical AI & Humanoid ...
11ROSCon UK 2025: State Estimation for Mobile Robotics Workshop
12Sensor Fusion Algorithms in Robotics: A Complete Guide to ...
13SLAM: Simultaneous Localization and Mapping Introduction to ..
14(PDF) Robot Navigation using Simultaneous Localization and...

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