Filippo Berno

Papers

Total Citations

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About

Filippo Berno is a researcher at the intersection of computer vision and robotics, with a primary focus on people tracking and human-robot interaction. His most cited work, "People Tracking in Panoramic Video for Guiding Robots" (2023), introduces a novel approach to enabling robots to follow and guide humans using 360-degree panoramic video feeds. This contribution addresses a critical challenge in autonomous navigation—maintaining robust visual tracking in dynamic, wide-angle environments—by leveraging panoramic imagery to expand the robot's field of view and reduce occlusion issues. Though early in his career, Berno's work has already garnered attention, with his key paper accumulating 3 citations, signaling growing interest in his methods. His research holds promise for applications in service robotics, assistive technologies, and autonomous guidance systems, where seamless human-robot coordination is essential. By combining panoramic sensing with real-time tracking algorithms, Berno is helping to pave the way for more intuitive and reliable robotic companions in crowded or complex spaces.