Скачать или смотреть Autonomous Navigation using Extended Kalman Filter

How far can you go in just 10 weeks with no starter code?
At Manchester Robotics and Tecnológico de Monterrey, we challenged our students to build a fully autonomous robot from scratch—and they delivered.

In this final project, students implemented:
✅ Extended Kalman Filter (EKF) for real-time localisation using odometry and IMU
✅ ArUco marker detection for absolute pose correction
✅ Dynamic obstacle avoidance to safely reach goals
✅ All code, logic, and control systems designed entirely by the students

Watch the robot navigate, adapt, and localise like a pro 🤖📍

This is more than a final project—it's a showcase of what’s possible when students get hands-on with real robotics challenges.

🎓 Project Info:

🚀 10-week challenge

🧠 Everything built from zero (no libraries)

🛠️ Based on the Puzzlebot platform

🏫 Collaboration between Manchester Robotics & Tecnológico de Monterrey

🧑‍🎓 Students explored control, sensor fusion, computer vision, and autonomous systems

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