Razvan Voicu
Papers
4
Total Citations
12
H-Index
3
About
Razvan Voicu is at the forefront of integrating autonomous robotics with real-world infrastructure monitoring and cybersecurity. His research centers on quadrupedal robotics, sensor fusion, and explainable AI, with a clear focus on deploying robotic systems for practical, high-impact tasks. Voicu’s major contributions include pioneering the use of the Unitree GO1 robotic dog for critical infrastructure inspection, where he combines object recognition (YOLOv8) and FLIR thermal sensors to autonomously detect cracks and anomalies in power plant transformers and civil structures. His work on back-mounted payloads further democratizes this technology by developing low-cost, modular add-ons for quadruped robots, expanding their capabilities for transport and surveillance. In cybersecurity, Voicu addresses the growing threat of phishing in IoT ecosystems by developing explainable AI models that make detection mechanisms intuitive and trustworthy for users. With over 12 citations across his most recent papers (2024–2025), his research is rapidly gaining recognition for its practical, interdisciplinary approach. Voicu’s work exemplifies how cutting-edge robotics and AI can be harnessed to solve pressing challenges in safety, security, and infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
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