Christophe Cariou
Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Université Clermont Auvergne, Continental (United States), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Unité de Recherche Agrosystèmes tropicaux, Laboratoire d'Informatique et d'Automatique pour les Systèmes
Papers
33
Total Citations
648
H-Index
14
About
Christophe Cariou is a prominent robotics and automation researcher whose work sits at the intersection of autonomous mobile systems and precision agriculture. Over more than a decade, his research has tackled some of the most demanding challenges in outdoor robot navigation — particularly the problem of accurately guiding vehicles across uneven, low-grip terrain where traditional assumptions of wheel-ground contact break down. His highly cited 2009 paper on automatic guidance of a four-wheel-steering agricultural robot (118 citations) stands as a landmark contribution, demonstrating how sophisticated control architectures can achieve field-level precision in real agricultural environments. Cariou has made foundational advances in model predictive control, sideslip angle estimation, and adaptive path tracking, developing observer-based frameworks that account for vehicle sliding dynamics at high speeds — work that has collectively attracted over 150 citations across related publications. His research extends to trajectory planning under kinematic and dynamic constraints, autonomous headland maneuvering with trailed implements, and precision spraying robots for vineyards and orchards. More recently, he has explored Internet of Underground Things technologies for Agriculture 4.0 applications. Together, his body of work has meaningfully shaped how autonomous farm vehicles are designed, controlled, and deployed in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 4Adaptive and Predictive Path Tracking Control for Off-road Mobile Robots51 citations · 2007
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