M. Nigro

Politecnico di Milano, University of Southern California

Papers

Total Citations

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About

M. Nigro is at the forefront of advancing human-robot interaction (HRI), with a particular focus on the computational complexities of social group dynamics. Their pioneering work addresses a critical gap in robotics: the challenge of enabling robots to seamlessly interact with multiple people simultaneously, moving beyond one-on-one paradigms. In their highly cited 2025 scoping review, "Social Group Human-Robot Interaction: A Scoping Review of Computational Challenges," Nigro systematically maps the unique computational hurdles—from perception and attention to decision-making—that arise when robots engage with groups, providing a foundational roadmap for the field. This work has already garnered significant attention, accumulating 6 citations shortly after publication. Beyond group dynamics, Nigro is also redefining how robots communicate their internal states. Their 2022 study, "Reimagining RViz: Multidimensional Augmented Reality Robot Signal Design," innovatively explores augmented reality (AR) visualizations, isolating and evaluating key Virtual Design Elements (VDEs) to create more intuitive and informative robot signals. By bridging the gap between traditional interfaces like RViz and immersive AR, Nigro is shaping the future of transparent, human-aware robotic systems.