works on

From the 3 of 12 linked papers with an AI index.

activity
20242026
collaborators

13 papers

cs.CV2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

R2F: Repurposing Ray Frontiers for LLM-free Object Navigation

Francesco Argenziano, John Mark Alexis Marcelo, Michele Brienza +5

Zero-shot open-vocabulary object navigation has progressed rapidly with the emergence of large Vision-Language Models (VLMs) and Large Language Models (LLMs), now widely used as hi…

cs.RO2026

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…

cs.CL2026

Guarding the Guardrails: A Taxonomy-Driven Approach to Jailbreak Detection

Francesco Giarrusso, Olga E. Sorokoletova, Vincenzo Suriani +1

Jailbreaking techniques pose a significant threat to the safety of Large Language Models (LLMs). Existing defenses typically focus on single-turn attacks, lack coverage across lang…