About

Laurent Foulloy is a pioneering researcher whose work bridges the fields of robotics, fuzzy control, and intelligent sensing. His key research areas include adaptive fuzzy control for nonlinear systems, sensor validation, and robotic automation for industrial applications. Foulloy’s major contributions are exemplified by his most-cited paper, “Improving the precision of a robot” (2005, 41 citations), which addresses critical challenges in robotic accuracy. His influential work on “Observer-Based Fuzzy Adaptive Control for a Class of Nonlinear Systems” (2004, 19 citations) introduced innovative Takagi-Sugeno fuzzy controllers with state observers, enabling real-time implementation for complex systems like a robot wrist. Foulloy also advanced intelligent sensing through his research on chirped-FM ultrasonic range sensors (2000, 14 citations), developing local measurement validation techniques that enhance sensor reliability at the source. His rule-based decision system for laser cutting (2005, 12 citations) and early work on adaptive laser robots (1985) demonstrate his long-standing commitment to industrial automation. With a career spanning from the 1980s to recent thick gradual set computations for underwater robots (2021), Foulloy’s research has consistently pushed the boundaries of intelligent robotics and fuzzy control, making him a notable figure in the field.

Research Focus

Key Achievements

5
H-Index
10
Papers
111
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Improving the precision of a robot
41 citations · 2005
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Robotics Research (United States), Université Savoie Mont Blanc, Laboratoire de Génie Électrique et Électronique de Paris, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes

Top Papers

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    A Smart Laser Cutter
    5 citations · 1986
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Key Collaborators

Contact & Links

Available for collaboration
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