25 citations · 43 across the 30 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji, Vincenzo Suriani, Daniele Nardi +1
The use of deep learning methods for precision farming is gaining increasing interest. However, collecting training data in this application field is particularly challenging and c…
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…
Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots
Vincenzo Suriani, Emanuele Musumeci, Daniele Nardi +1
Robots playing soccer often rely on hard-coded behaviors that struggle to generalize when the game environment change. In this paper, we propose a temporal logic based approach tha…
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…
Multi-Agent Coordination for a Partially Observable and Dynamic Robot Soccer Environment with Limited Communication
Daniele Affinita, Flavio Volpi, Valerio Spagnoli +3
RoboCup represents an International testbed for advancing research in AI and robotics, focusing on a definite goal: developing a robot team that can win against the human world soc…