Jean‐Marc Lavest
Université Clermont Auvergne, Centre National de la Recherche Scientifique
Papers
7
Total Citations
525
H-Index
7
About
Jean-Marc Lavest is a leading figure in the fields of computer vision, robotic perception, and precision metrology, whose work has fundamentally advanced how machines see and interact with their environments. His most influential contribution, a seminal paper on "Monocular Vision for Mobile Robot Localization and Autonomous Navigation," has garnered over 324 citations, establishing foundational techniques for autonomous navigation. Lavest is particularly renowned for his expertise in sensor calibration. He pioneered the use of vision-based metrology to dramatically simplify and reduce the cost of kinematic calibration for parallel mechanisms—a breakthrough detailed in his highly cited 2006 work (106 citations). His research also addresses the critical "hand-eye calibration" problem, enabling robots to precisely coordinate their vision with their manipulators for tasks like grasping. Further demonstrating his impact on high-precision systems, Lavest developed advanced calibration methods for 3-D coordinate measurement sensors using laser beams and CMOS cameras. His work on simultaneous pose and velocity measurement has proven essential for the dynamic identification and control of high-speed robots. Through these contributions, Lavest has provided the theoretical and practical tools that underpin modern, accurate, and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Monocular Vision for Mobile Robot Localization and Autonomous Navigation324 citations · 2007
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- 3Hand-eye calibration35 citations · 2002
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