Marco Virgolin

Papers

Total Citations

H-Index

About

Marco Virgolin is a researcher at the intersection of evolutionary computation, genetic programming, and human-robot interaction. His work focuses on developing interpretable AI systems and socially assistive robots that can operate safely alongside humans. Virgolin is perhaps best known for leading the development of ISOLDE, a multimodal interactive mobile robot designed to help healthcare staff maintain social distancing during the Covid-19 pandemic—a timely contribution that has garnered significant attention. Beyond robotics, he has made foundational contributions to explainable AI, particularly through genetic programming methods that produce compact, human-readable models without sacrificing predictive performance. His research on feature selection and symbolic regression has been widely cited, with several papers accumulating dozens of citations for advancing the transparency and trustworthiness of machine learning systems. Virgolin’s work has been published in top venues including GECCO and IEEE conferences, and he is recognized for bridging the gap between complex optimization algorithms and real-world deployment in sensitive environments like hospitals.