Robin Kerstens
Papers
10
Total Citations
114
H-Index
6
About
Robin Kerstens is a researcher specializing in acoustic sensing, robotics, and autonomous navigation, with a particular focus on developing innovative sonar-based perception systems for robotic applications. His work addresses a critical gap in autonomous vehicle technology: the vulnerability of conventional optical sensors — cameras and LiDAR — to degraded performance in environments with airborne particles such as dust, fog, or smoke. Kerstens's most significant contributions center on the design and implementation of real-time 3D imaging sonar sensors. His flagship work, the eRTIS system (2019, 46 citations), demonstrated a fully embedded sonar platform capable of delivering range, bearing, and reflection strength data in real time — a landmark achievement in acoustic robotics. Complementing this, his URTIS sensor and dense MEMS microphone array research further advanced low-cost, high-resolution ultrasonic perception. He has also explored biologically inspired sonar systems modeled on bat echolocation, GPU-accelerated sensor networks for 3D point cloud acquisition, and MIMO virtual arrays for radial velocity estimation of multiple objects. With over 110 cumulative citations across his body of work, Kerstens has established himself as a meaningful contributor to the emerging field of in-air acoustic imaging, offering robust, affordable alternatives to optical sensing for next-generation autonomous platforms.
Research Focus
Key Achievements
Top Papers
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- 3Urtis: a Small 3d Imaging Sonar Sensor for Robotic Applications16 citations · 2020
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- 6In-Air Imaging Sonar Sensor Network with Real-Time Processing Using GPUs7 citations · 2019
- 7Live Demonstration of eRTIS, an Embedded Real-Time Imaging Sonar Sensor3 citations · 2019
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- 9Live demonstration: 3D sonar sensing using low-cost MEMS arrays3 citations · 2017
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