Papers
10
Total Citations
196
H-Index
5
About
Michel Berducat is a prominent French robotics researcher whose career has been dedicated to advancing autonomous agricultural machinery and precision farming technologies. Working primarily within the IRSTEA (now INRAE) research framework, Berducat has made foundational contributions to mobile robot guidance, motion control, and autonomous navigation in complex outdoor environments. His most influential work, "Automatic Guidance of a Four-Wheel-Steering Mobile Robot for Accurate Field Operations" (2009, 118 citations), established key methodologies for achieving high-precision robot guidance in agricultural settings — a critical challenge given the unpredictable terrain and demanding accuracy requirements of farm operations. Building on this, he has developed sophisticated trajectory planning algorithms under kinematic and dynamic constraints for full field coverage, and pioneered automation of headland maneuvers — the notoriously complex turning sequences at field boundaries that require coordinated control of both tractor and trailed implements. Berducat's research consistently addresses the dual imperatives of feeding a growing global population while preserving environmental resources through smarter, more efficient farming. His contributions span fleet coordination, adaptive off-road control, and competition-based robot benchmarking through the ACRE initiative, reflecting both theoretical depth and practical impact across agricultural robotics.
Research Focus
Key Achievements
Top Papers
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- 3Maneuvers automation for agricultural vehicle in headland10 citations · 2010
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- 5Off-road mobile robots control: An accurate and stable adaptive approach7 citations · 2012
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- 7A velocity observer based on friction adaptation4 citations · 2008
- 8On the Design of the Agri-Food Competition for Robot Evaluation (ACRE)4 citations · 2021
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