F. Monteil
Papers
1
Total Citations
10
H-Index
1
About
F. Monteil is a researcher whose work focuses on mobile robotics and sensor-based navigation, with particular expertise in localization systems for autonomous platforms. Monteil’s most-cited paper, “Localization of a mobile robot with beacons taking erroneous data into account” (2003, 10 citations), addresses a critical challenge in robotics: achieving reliable positioning despite imperfect sensor measurements. In this work, Monteil and co-authors analyze a navigation system for an inspection robot that uses an ultrasonic/infrared telemeter with active beacons. By developing a realistic statistical model of measurement errors—grounded in theoretical analysis and validated through preliminary experiments—they demonstrate how to account for erroneous data in the localization process. This contribution is notable for bridging the gap between idealized sensor models and real-world performance, offering a practical framework for robust robot navigation. While Monteil’s citation count reflects a focused but impactful body of work, the study’s emphasis on error modeling and experimental validation has relevance for researchers in field robotics and autonomous systems. Monteil’s research underscores the importance of statistical rigor in sensor fusion, a key area for advancing reliable mobile robot deployment in industrial and inspection applications.
Research Focus
Key Achievements
Top Papers
- 1