Papers
7
Total Citations
148
H-Index
5
About
Benoit Thuilot is a robotics researcher whose work centers on autonomous mobile robot navigation, path tracking control, and fleet coordination, with a particular focus on challenging off-road and agricultural environments. His research addresses the complex realities of real-world robot deployment, moving beyond idealized assumptions to tackle practical problems such as wheel slippage, terrain irregularities, and dynamic outdoor conditions. One of his most influential contributions is a monocular vision-based outdoor navigation system, which enables robots to autonomously reproduce a human-guided path using only a single camera and a learned 3D environmental map — a paper that has garnered 90 citations and remains a landmark in vision-based autonomous navigation. Thuilot has also made significant strides in adaptive and predictive control strategies, developing methods that allow wheeled mobile robots to maintain accurate path tracking even under sliding conditions and harsh terrain, problems especially relevant to agricultural robotics. His work extends to multi-robot systems, where he has investigated formation control and coordinated path following for fleets of GPS-equipped robots communicating via WiFi. Across his portfolio, Thuilot consistently bridges theoretical control design with practical field applications, making his contributions particularly valuable to researchers and engineers working on agricultural automation and outdoor autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Outdoor autonomous navigation using monocular vision90 citations · 2005
- 2
- 3
- 4
- 5
- 6
- 7