Author

Emanuele La Malfa

2 papers indexed here

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Preprint Aug 2026

Explore, Map, Remember, Decide: Are Embodied VLMs Ready for Safety-Critical Scenarios?

Theory of Space framework (ToS) assesses the spatial understanding of curiosity-driven Vision-Language Models (VLMs) under partial observability. As AI techniques are increasingly applied to safety-critical scenarios, it is crucial to understand whether VLMs possess robust spatial memory and make reliable decisions. In...

G. Malfa, Nitay Alon, Emanuele La Malfa et al. · 0 citations

#artificial intelligence Oct 2025

Fetch.ai: An Architecture for Modern Multi-Agent Systems

The Fetch.ai architecture is introduced, an industrial-strength platform designed to bridge the gap by facilitating the integration of classical MAS principles with modern AI capabilities, and provides a principled architecture for moving beyond current agent implementations towards open, collaborative, and economicall...

Michael Wooldridge, Attila Bagoly, Jonathan Ward et al. · arXiv.org · 5 citations