Michel Froumentin
Papers
1
Total Citations
4
H-Index
1
About
Michel Froumentin’s research career is anchored in the intersection of robotics, sensor technology, and civil engineering, with a particular focus on automating and optimizing road construction processes. His most cited work, “Estimating the Degree of Compaction of Asphalt Using Proprioceptive Sensor and Dynamic Model” (2001, 4 citations), demonstrates a pioneering approach to using onboard, proprioceptive sensors—sensors that measure internal states like vibration and force—to estimate the real-time compaction of asphalt during paving. This contribution is significant because it moves quality control from costly, post-process testing to an integrated, dynamic model that can guide compaction as it happens, improving both efficiency and road durability. Co-authored with Delclos, Vandanjon, Peyret, and Gautier, the work reflects Froumentin’s strength in applying dynamic system modeling to practical field problems. While his citation count is modest, the work’s impact lies in its foundational role for intelligent compaction systems, a technology now widely adopted in modern road-building machinery. For students and researchers, Froumentin’s work exemplifies how sensor fusion and control theory can solve real-world infrastructure challenges, bridging the gap between laboratory models and on-site deployment.
Research Focus
Key Achievements
Top Papers
- 1