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About

Davide Plozza is a robotics researcher focused on advancing autonomous navigation and human-robot interaction in dynamic, real-world environments. His work spans three critical areas: depth camera noise analysis, LiDAR-based person tracking for safe navigation, and assistive robotics for enhanced living. In his 2024 study on the PMD Flexx2 depth camera, Plozza developed novel noise models for Time-of-Fight sensors, enabling more reliable 3D perception for agile mobile robots navigating complex spaces. His research on autonomous navigation introduces an embedded 2D LiDAR-based person tracker that allows robots to make intelligent decisions in human-shared environments, addressing the challenge of seamless human-robot coexistence. Notably, Plozza’s work on a gaze-guided semi-autonomous quadruped robot represents a significant step toward domestic robotics, where robots must handle unconstrained daily environments far more complex than factory floors. Each of these papers has garnered 3 citations, reflecting early but meaningful impact in the field. Plozza’s contributions are particularly valuable for students and researchers interested in perception systems, safe autonomous navigation, and the practical deployment of robots in human-centered settings.