Barnaba Ubezio
Joanneum Research, Politecnico di Torino, University of Klagenfurt
Papers
8
Total Citations
88
H-Index
4
About
Barnaba Ubezio is a robotics researcher whose work sits at the intersection of sensor simulation, radar-based perception, and human-robot collaboration. His most significant contribution is the development of ViRa, a real-time open-source millimeter-wave radar simulator introduced in 2021, which has garnered 33 citations and become a valuable tool for the robotics community seeking to prototype and validate perception systems without costly physical setups. Building on this foundation, his 2020 paper on radar simulation for collaborative robotics (20 citations) helped establish simulation as a rigorous methodology for evaluating radar sensors in realistic robot environments. Ubezio has also made meaningful contributions to safety-critical robotics, exploring Speed and Separation Monitoring using radar-based target tracking (12 citations) and capacitive proximity sensing benchmarks for safe human-robot collaboration (11 citations). His broader research portfolio spans sensor fusion through Extended Kalman Filters, vision-based obstacle avoidance, multi-radar extrinsic calibration, and combined ToF camera and FMCW radar simulation. Taken together, his work addresses a fundamental challenge in modern robotics: equipping robots with reliable, multi-modal perception to operate safely and efficiently alongside humans in unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 5Kalman Filter Based Sensor Fusion for a Mobile Manipulator4 citations · 2019
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- 8Simultaneous AMCW ToF Camera and FMCW Radar Simulation2 citations · 2023