Research Statement

Currently, in a profound technological shift, robots are transitioning from structured industrial environments to unstructured human-centric spaces. These scenarios range from cluttered homes and busy urban streets to intricate surgical theaters and disaster zones. This transition, however, introduces tremendous new challenges. The fundamental question is no longer just about speed or precision, but how robots should model, perceive, and interact with their surroundings to achieve the required adaptability and robustness. Many problems in robotics are fundamentally problems of geometry and spatial relationships dictate system behavior, whether for manipulating objects, avoiding obstacles, or interpreting sensor data. Hence, in my research I contend that geometrically coherent representations that capture the intrinsic structure of robotic tasks are essential to enabling efficient computation, safe interaction, and scalable generalization. For more information please visit https://geometric-algebra.tobiloew.ch/.

Short Bio

I obtained my PhD degree from EPFL in 2025 and my Bachelor's and Master's degree from ETH Zürich in 2018 and 2020, respectively.