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About

Ambroise Krebs is a robotics researcher specializing in mobile robot locomotion, rough-terrain navigation, and rover performance optimization. His work sits at the intersection of mechanical design, control systems, and autonomous navigation, with a particular focus on developing robots capable of reliably traversing challenging, unstructured environments. Krebs is perhaps best known for his contributions to wheel torque control and the development of the Performance Optimization Tool (POT), a software framework enabling systematic comparison and optimization of rover chassis designs across diverse terrain conditions. His 2004 paper on wheel torque control for rough-terrain rovers, which has garnered 89 citations, established the importance of treating mobile robots as holistic physical systems — a principle that underpins much of his subsequent research. His complementary work on comprehensive locomotion performance evaluation provided the field with rigorous methodologies for benchmarking wheeled passive systems using 2D quasi-static modeling approaches. Collectively accumulating over 230 citations, Krebs' research has meaningfully advanced how engineers approach rover design and control, bridging simulation-based evaluation with real-world hardware validation. His later work exploring terrain classification using both proprioceptive and exteroceptive data further demonstrates his broad engagement with the challenges of robust autonomous mobility in complex environments.