M. Lucioni

Papers

Total Citations

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About

M. Lucioni is a researcher specializing in computer vision and autonomous mobile robotics, with a particular focus on omnidirectional perception systems for real-time applications. Their most recognized contribution centers on the development of innovative omnidirectional vision sensors designed to enable fast, reliable object tracking in mobile robots operating within semi-structured environments. Notably, Lucioni's work was applied to RoboCup soccer field robots — including platforms named "Rullit" and "Polyphemus" — where visual recognition needed to function at near-real-time rates of approximately 20 Hz. A distinctive technical achievement in this research was the design of a multi-shaped mirror system, a creative optical solution that extended a robot's field of view without sacrificing processing speed. The 2000 publication of this work garnered 40 citations, establishing it as a meaningful reference point in the robotics vision community, while a subsequent 2003 iteration further refined the approach and reached additional readers. Lucioni's contributions sit at an important intersection of optics, computer vision, and autonomous systems, making their work particularly relevant to students and researchers exploring perception architectures for real-world robotic platforms.