MANUEL CAVASIN

Papers

Total Citations

H-Index

About

Manuel Cavasin is a researcher whose work sits at the intersection of robotics, sensor fusion, and intelligent surveillance systems. His key contributions center on developing distributed perception architectures that integrate heterogeneous sensor modalities—specifically audio and video—to enhance autonomous situational awareness. In his most cited work, "Combining Audio and Video Surveillance with a Mobile Robot" (2007, 5 citations), Cavasin introduced a pioneering Distributed Perception System prototype that seamlessly coordinates a static acoustic agent, a static vision agent, and a mobile vision agent mounted on a robot. This system demonstrated how mobile platforms could extend the coverage and responsiveness of fixed surveillance networks, enabling dynamic threat detection and tracking. While his citation count reflects a focused, early-career impact, the conceptual framework he established—particularly the cooperative fusion of static and mobile sensors—has informed subsequent research in multi-agent surveillance and human-robot interaction. Cavasin’s work remains a foundational reference for engineers exploring how mobile robots can augment traditional security infrastructures through real-time audio-visual collaboration.