Lucas Charbonnier
Papers
1
Total Citations
4
H-Index
1
About
Lucas Charbonnier is a robotics researcher whose work centers on mobile robot localization and perception in indoor environments. His key contributions lie in developing efficient methods for processing 2D laser rangefinder data, a critical sensor modality for autonomous navigation. His most cited paper, "A suitable polygonal approximation for laser rangefinder data" (2002, 4 citations), addresses the challenge of representing indoor environments—composed of planes like walls, doors, and desks—as a set of points belonging to straight lines. Charbonnier’s approach provides a polygonal approximation that simplifies this data, enabling more accurate and computationally efficient localization for mobile robots. Though his citation count is modest, his work is foundational for researchers tackling real-time sensor processing in structured spaces. Charbonnier’s focus on practical, geometry-driven solutions underscores his impact on early indoor robotics, offering a bridge between raw sensor output and actionable spatial understanding. His research remains relevant for students and engineers exploring laser-based navigation and mapping.
Research Focus
Key Achievements
Top Papers
- 1A suitable polygonal approximation for laser rangefinder data4 citations · 2002