Max Robotics — Global Service Robot Directory + US Certification

About

Giuseppe Antonio Di Luna is a distinguished computer scientist whose research sits at the intersection of distributed computing, autonomous mobile robotics, and programmable matter. His work has fundamentally advanced our understanding of how collections of simple, anonymous computational entities can coordinate to solve complex geometric tasks without centralized control. Di Luna is best known for his pioneering contributions to the **mutual visibility problem**, exploring how autonomous robots navigating a Euclidean plane can reposition themselves to achieve unobstructed sightlines without collisions. His 2016 paper on this topic has garnered 95 citations, establishing it as a foundational reference in the field. Complementing this, his research on **robots with lights** — a model where agents use persistent colored lights to overcome visibility limitations — has attracted substantial community interest, with related papers accumulating over 60 combined citations. Beyond robotics, Di Luna has made significant strides in **programmable matter**, investigating shape formation among resource-constrained particles operating under the Amoebot model. His work consistently tackles the challenge of achieving global coordination from purely local interactions, a question central to swarm intelligence and self-organizing systems. Through rigorous theoretical frameworks, Di Luna's research continues to shape how computer scientists approach decentralized, scalable coordination problems.