activity
20192025
most citedA Socially Adaptable Framework for Human-Robot Interaction

59 citations · 194 across the 46 of their papers we have counts for

collaborators
Showing cs.ROShow all

27 papers · 1 filter

cs.RO2025

If They Disagree, Will You Conform? Exploring the Role of Robots' Value Awareness in a Decision-Making Task

Giulia Pusceddu, Giulio Antonio Abbo, Francesco Rea +2

This study investigates whether the opinions of robotic agents can influence human decision-making when robots display value awareness (i.e., the capability of understanding human…

cs.RO2025

Game Theory to Study Cooperation in Human-Robot Mixed Groups: Exploring the Potential of the Public Good Game

Giulia Pusceddu, Sara Mongile, Francesco Rea +1

In this study, we explore the potential of Game Theory as a means to investigate cooperation and trust in human-robot mixed groups. Particularly, we introduce the Public Good Game…

cs.RO2025★ 1 cited

Next-Gen Museum Guides: Autonomous Navigation and Visitor Interaction with an Agentic Robot

Luca Garello, Francesca Cocchella, Alessandra Sciutti +2

Autonomous robots are increasingly being tested into public spaces to enhance user experiences, particularly in cultural and educational settings. This paper presents the design, i…

cs.RO2025

Building Knowledge from Interactions: An LLM-Based Architecture for Adaptive Tutoring and Social Reasoning

Luca Garello, Giulia Belgiovine, Gabriele Russo +2

Integrating robotics into everyday scenarios like tutoring or physical training requires robots capable of adaptive, socially engaging, and goal-oriented interactions. While Large…

cs.RO2024★ 1 cited

A Roadmap for Embodied and Social Grounding in LLMs

Sara Incao, Carlo Mazzola, Giulia Belgiovine +1

The fusion of Large Language Models (LLMs) and robotic systems has led to a transformative paradigm in the robotic field, offering unparalleled capabilities not only in the communi…

cs.RO2024★ 5 cited

The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset

Linda Lastrico, Valerio Belcamino, Alessandro Carfì +4

We propose a dataset to study the influence of object-specific characteristics on human pick-and-place movements and compare the quality of the motion kinematics extracted by vario…