Author

Massimiliano Luca

2 papers indexed here

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#artificial intelligence Preprint Oct 2026

Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration

LLMs are used as high-level controllers for embodied agents, but it remains unclear whether they support collaborative reasoning, such as anticipating a collaborator's actions in real-time teamwork without dialogue. We ask if observing the partner's state, exchanging object knowledge, and predicting the partner's next...

Adrián Szlatincsán, Filippo Ziliotto, Bruno Lepri et al. · 0 citations

#artificial intelligence Review Mar 2025

Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors

Understanding how people perceive urban environments is essential for inclusive planning, yet conventional surveys are costly and difficult to scale. We investigate whether Multimodal Large Language Models (MLLMs) can assess perceived urban safety from street-view imagery while accounting for the observer-dependent nat...

Ciro Beneduce, Bruno Lepri, Massimiliano Luca · 9 citations