Author

Filippo Ziliotto

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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

Jul 2026

IMPRINT: Image-Conditioned Query Enrichment for Long-Tail Object Goal Navigation

IMPRINT is introduced, a zero-shot plug-and-play framework that enriches textual object queries with web-sourced images to improve grounding in queryable maps and reveals that translating localization gains to navigation performance depends critically on downstream detection quality, highlighting a key systems bottlene...

Jelin Raphael Akkara, Filippo Ziliotto, Luciano Serafini et al. · arXiv.org · 0 citations