Project Overview
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Robocar: Autonomous Racing Project
Welcome to the Robocar project — an open educational and research-ready platform for developing and testing autonomous navigation systems.
📌 Project Overview
Robocar is designed as a modular robotics platform that combines:
- High-precision navigation using GNSS RTK GPS
- Advanced motor control with VESC (Vedder Electronic Speed Controller)
- AI-driven decision-making trained via simulation environments
It’s ideal for university research, student projects, and robotics competitions.
🧭 Project Goals & Architecture
The Robocar project aims to develop a modular, autonomous racing platform capable of navigating complex circuits, processing real-time sensor data, and learning from simulation. It’s designed for hands-on education, AI research, and robotics competitions.
To achieve this, the system combines the following core components:
| Module | Purpose |
|---|---|
| AI Control | Python-based control logic trained via simulation |
| Simulation | Unity-based racing environment for model testing and training |
| GNSS RTK GPS + IMU | Centimeter-level localization and motion sensing using the Point One Dev Kit |
| Motor Control | High-efficiency motor management via VESC (Vedder ESC) |
| Embedded Platform | Real-time inference and control using Jetson Nano |
| Computer Vision | Object tracking and depth perception with OAK-D Lite and DepthAI |
This architecture supports the project’s objectives of real-world autonomy, AI validation in simulation, and integration of multiple perception and control technologies.
🚀 Getting Started
To explore this project:
- Read the Read the GNSS Guide
- Follow the VESC Calibration Instructions
🏁 UTAC 2025 Tournament
In 2025, our Robocar team took part in the UTAC autonomous vehicle tournament, a national competition that brought together student-led robotics projects from across the country. It was an incredible opportunity to test our system in real-world conditions and benchmark our AI against others on a professional-grade circuit.
📖 Check out the full article to read about our experience, results, and technical challenges:
👉 Read the UTAC 2025 Recap
📹 And watch the highlight video from the event on YouTube:
🧠 Acknowledgements
This project is supported by Epitech and contributions from robotics enthusiasts and students.
📬 Contact
For questions, feature requests, or collaboration proposals, feel free to open an issue or reach out via email.
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