Edoardo Ghignone

I'm a PhD researcher in Robotics and Autonomous Embedded Systems at ETH Zurich currently working on autonomous racing.

My research focuses on combining classical control theory with modern machine learning approaches to push the boundaries of autonomous racing. I work extensively on system identification, trajectory tracking control, and multi-agent racing scenarios. I'm particularly interested in bridging the gap between model-based and learning-based approaches in robotics. My work has been published in top robotics venues like ICRA, IROS, and IEEE Robotics and Automation Letters. I've helped develop the ForzaETH Race Stack, a complete software solution for autonomous racing that has won multiple international competitions. Through my research, I aim to advance both the theoretical understanding and practical implementation of autonomous racing systems.