From the 3 of 18 linked papers with an AI index.
19 papers
An LLM-Based Automatic Sportscast Solution for Robot Soccer Matches
Francesco Petri, Michele Brienza, Daniele Nardi +3
The paper presents an autonomous system that extracts statistics from RoboCup soccer video streams and generates real-time, hallucination‑free commentary using a neuro‑symbolic arc…
Semantic Audio-driven Understanding for Dynamic Humanoid Whole Body Control
J. M. A. Marcelo, M. Brienza, E. Bugli +4
The paper presents a framework that enables a humanoid robot to autonomously select and execute whole‑body motion skills in real time based on continuous audio input, using music f…
Vision-Based Dribbling for Humanoid Soccer via Privileged Representation Learning
Flavio Maiorana, Valerio Spagnoli, Eugenio Bugli +5
The paper presents a method that combines a temporal depth encoder with reinforcement learning to enable a humanoid robot to dribble a soccer ball using only depth camera inputs, h…
Metaphor Is Not All Attention Needs
Olga Sorokoletova, Francesco Giarrusso, Giacomo De Luca +6
Large language models are increasingly deployed in safety-critical applications, where their ability to resist harmful instructions is essential. Although post-training aims to mak…
Learning from Mistakes: Can LLM Self-Recover after Misalignment?
Olga E. Sorokoletova, Francesco Giarrusso, Vincenzo Suriani +1
Responsible AI initiatives place great emphasis on the safety of Large Language Model (LLM)-based systems. In particular, it has become standard practice to subject these models to…
Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning
Emanuele Musumeci, Michele Brienza, Francesco Argenziano +4
Embodied agents need to plan and act reliably in real and complex 3D environments. Classical planning (e.g., PDDL) offers structure and guarantees, but in practice it fails under n…