Papers
10
Total Citations
279
H-Index
6
About
R. Husson is a pioneering researcher in mobile robotics, with a career-long focus on autonomous navigation, localization, and motion planning for complex environments. His most influential work, "Capture of homotopy classes with probabilistic road map" (80 citations), addresses the critical challenge of finding feasible paths for bulky loads and robots in cluttered settings—directly supporting virtual reality applications for nuclear power plant maintenance. Husson’s foundational contributions include developing the dead reckoning localization system for the wheeled mobile robot ROMANE (64 citations), which quantifies outdoor position estimation accuracy using incremental shaft encoders. He also advanced multisensor calibration with an automatic method that exploits sensor redundancy without external references (24 citations), and created an optimized 2D laser-scanner segmentation technique for mobile robot navigation (79 citations). His work on laser-vision cooperation for map building and landmark recognition further enhanced autonomous vehicle localization. With over 280 total citations, Husson’s research has been instrumental in enabling robots to operate reliably in both structured and unstructured environments, from urban parks to hazardous industrial sites—making him a key figure in practical, sensor-based mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Capture of homotopy classes with probabilistic road map80 citations · 2003
- 2
- 3The dead reckoning localization system of the wheeled mobile robot ROMANE64 citations · 2002
- 4
- 5A vision system for mobile robot navigation13 citations · 1994
- 6Laser-vision cooperation for map building and landmarks recognition9 citations · 2002
- 7A laser-based mobile robot navigation in structured environment4 citations · 1999
- 8
- 9
- 10Control of tracking systems by image correlation2 citations · 1987