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20222026
most citedMulti-Agent Planning Using Visual Language Models

3 citations · 7 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Real-Time Multimodal Signal Processing for HRI in RoboCup: Understanding a Human Referee

Filippo Ansalone, Flavio Maiorana, Daniele Affinita +8

Advancing human-robot communication is crucial for autonomous systems operating in dynamic environments, where accurate real-time interpretation of human signals is essential. Robo…

cs.RO2024

EMPOWER: Embodied Multi-role Open-vocabulary Planning with Online Grounding and Execution

Francesco Argenziano, Michele Brienza, Vincenzo Suriani +2

Task planning for robots in real-life settings presents significant challenges. These challenges stem from three primary issues: the difficulty in identifying grounded sequences of…

cs.AI2024★ 3 cited

Multi-Agent Planning Using Visual Language Models

Michele Brienza, Francesco Argenziano, Vincenzo Suriani +2

Large Language Models (LLMs) and Visual Language Models (VLMs) are attracting increasing interest due to their improving performance and applications across various domains and tas…

cs.RO2024

LLCoach: Generating Robot Soccer Plans using Multi-Role Large Language Models

Michele Brienza, Emanuele Musumeci, Vincenzo Suriani +4

The deployment of robots into human scenarios necessitates advanced planning strategies, particularly when we ask robots to operate in dynamic, unstructured environments. RoboCup o…

cs.CL2024★ 2 cited

LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain

Emanuele Musumeci, Michele Brienza, Vincenzo Suriani +2

In the last years' digitalization process, the creation and management of documents in various domains, particularly in Public Administration (PA), have become increasingly complex…