Nicolas Baumann

I'm a PhD researcher in Robotics and Autonomous Systems at ETH Zurich currently working on autonomous racing and perception systems. My research focuses on developing robust algorithms for high-performance autonomous vehicles, particularly in racing scenarios where systems are pushed to their physical limits.

My work spans multiple areas including sensor fusion, control systems, and machine learning applied to robotics. I've developed novel approaches for camera-RADAR fusion (CR3DT), trajectory prediction for autonomous racing (Predictive Spliner), and learning-based system identification for racing vehicles. Previously, I worked on ultra-low power embedded systems and IoT devices at ETH Zurich.

A key focus of my research is bridging the gap between theoretical approaches and real-world implementation, particularly in resource-constrained settings. I'm passionate about creating robust solutions that can handle the uncertainties and challenges of real-world deployment while maintaining computational efficiency. My work has been published in top robotics venues including JFR, ICRA, IROS, and various IEEE journals.