Thomas Verellen
Papers
2
Total Citations
34
H-Index
2
About
Thomas Verellen is a leading researcher in the field of robotic perception, specializing in acoustic sensing and sonar imaging for challenging environments. His work addresses a critical limitation of autonomous systems: the failure of optical sensors like cameras and LIDAR in degraded visual conditions caused by airborne particles such as fog, dust, or smoke. Verellen’s major contributions include the development of high-resolution ultrasound sensing using dense microphone arrays, as detailed in his 2020 paper (18 citations), which enables robust object detection and ranging in adverse conditions. He also pioneered the Urtis system, a compact 3D imaging sonar sensor for robotic applications (16 citations), demonstrating that acoustic waves can reliably penetrate visual obstructions. With over 34 combined citations for these foundational works, Verellen’s research is pivotal for advancing autonomous navigation in search-and-rescue, mining, and industrial settings. His innovations bridge the gap between traditional sonar technology and modern robotics, offering a practical solution for perception in environments where light-based sensors fail. Verellen’s work stands as a cornerstone for next-generation, all-weather autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Urtis: a Small 3d Imaging Sonar Sensor for Robotic Applications16 citations · 2020