About

Maxime Gautier is a pioneering researcher in robot dynamics and system identification, whose groundbreaking contributions have fundamentally shaped how engineers model, calibrate, and control robotic systems. His work centers on the identification of inertial parameters of serial robots, the development of optimal excitation trajectories, and advanced parameter estimation methodologies. Gautier's most influential contributions began in the early 1990s with his seminal work on determining the minimum set of inertial parameters of robots — a breakthrough that dramatically reduced computational costs in dynamic modeling. His 1990 paper alone has garnered nearly 400 citations, while his closely related 1991 and 1992 studies on numerical calculation methods and exciting trajectories have each accumulated over 200 citations, collectively establishing the theoretical foundation for robot identification. Throughout the 2000s, Gautier extended his impact by introducing power-model-based identification, energy theorem approaches, and Extended Kalman filtering techniques, demonstrating sustained innovation across multiple methodological fronts. His 2012 closed-loop output error method and 2014 instrumental variable approach reflect his continued relevance in addressing real-world industrial robot identification challenges. With over 2,000 cumulative citations across his top works, Gautier's research remains essential reading for roboticists and control engineers working at the intersection of dynamic modeling and parameter estimation.

Research Focus

Key Achievements

34
H-Index
140
Papers
4,653
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Direct calculation of minimum set of inertial parameters of serial robots
391 citations · 1990
📈 Most Prolific Year: 2002 (24 Papers)
🤝 Key Collaborators: 73
🏛 Institutions: Laboratoire des Sciences du Numérique de Nantes, Centre National de la Recherche Scientifique, Nantes Université, École Centrale de Nantes, Laboratoire de Thermique et Energie de Nantes, Université Nantes Angers Le Mans

Top Papers

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Key Collaborators

Contact & Links

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