Papers
7
Total Citations
133
H-Index
6
About
Romain Rossi is a robotics researcher whose work spans agricultural automation, industrial inspection, and assistive mobility. His primary contributions lie in perception and navigation for autonomous robots, with a particular focus on LiDAR-based structure tracking and visual SLAM (Simultaneous Localization and Mapping). His most cited work, "LiDAR-based Structure Tracking for Agricultural Robots" (48 citations), addresses autonomous navigation in vineyards, enabling robots to reliably follow crop rows. Rossi has also made significant contributions to benchmarking visual SLAM algorithms, comparing ORB-SLAM2 and RTAB-Map (30 citations), and developing vision-based localization systems for large industrial environments (20 citations). Notably, he was part of the VIKINGS team, which won two competitions in the ARGOS Challenge (18 citations), designing an autonomous robot for inspecting oil and gas sites. More recently, Rossi has explored self-supervised sidewalk perception for robotic wheelchairs (6 citations), advancing smart mobility solutions. His early work on real-time 3D reconstruction using catadioptric cameras (6 citations) demonstrates a long-standing commitment to perception challenges. With over 130 total citations, Rossi’s research continues to push the boundaries of autonomous navigation across diverse domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Benchmark of Visual SLAM Algorithms: ORB-SLAM2 vs RTAB-Map30 citations · 2019
- 3
- 4The VIKINGS Autonomous Inspection Robot: Competing in the ARGOS Challenge18 citations · 2018
- 5
- 6Real-time 3D reconstruction for mobile robot using catadioptric cameras6 citations · 2009
- 7