Papers
24
Total Citations
298
H-Index
8
About
Roland Chapuis is a robotics researcher whose work centers on autonomous vehicle perception, localization, and mapping — particularly in challenging real-world environments. He is perhaps best known for his pioneering contributions to radar-based robotics, demonstrating that rotating FMCW radar sensors — long overlooked in mobile robotics — could serve as powerful tools for simultaneous localization and mapping (SLAM). His 2013 paper on this topic has garnered 98 citations, establishing him as a leading voice in radar-centric perception systems valued for their long range and resilience to adverse atmospheric conditions. Beyond radar, Chapuis has made meaningful contributions to multi-sensor fusion, combining vision, LiDAR, and Ultra-Wide-Band technologies to tackle problems ranging from digital elevation mapping to cooperative multi-robot localization. His work on range-only UWB-based localization and decentralized multi-robot SLAM reflects a sustained interest in scalable, low-cost solutions for real-world deployment. More recently, his research has extended into risk-aware path planning through novel occupancy mapping frameworks, addressing safety-critical navigation in unstructured environments. With a body of work spanning over a decade and accumulating hundreds of citations, Chapuis represents a thoughtful and pragmatic contributor to field robotics, consistently bridging theoretical innovation with practical autonomous systems applications.
Research Focus
Key Achievements
Top Papers
- 1Localization and Mapping Using Only a Rotating FMCW Radar Sensor98 citations · 2013
- 2
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- 4Range-Only Based Cooperative Localization for Mobile Robots21 citations · 2018
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- 6Digital Elevation Map estimation by vision-lidar fusion12 citations · 2009
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- 9Consistent Multi-robot Decentralized SLAM with Unknown Initial Positions8 citations · 2013
- 10Robust localization using a top-down approach with several LIDAR sensors7 citations · 2015