5 citations · 15 across the 8 of their papers we have counts for
8 papers
Ice-Breakers, Turn-Takers and Fun-Makers: Exploring Robots for Groups with Teenagers
Sarah Gillet, Katie Winkle, Giulia Belgiovine +1
Successful, enjoyable group interactions are important in public and personal contexts, especially for teenagers whose peer groups are important for self-identity and self-esteem.…
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…
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…
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Hassan Ali, Philipp Allgeuer, Carlo Mazzola +4
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM common-sense reasoning with the robot's perception and physical abilities. In humanoid…
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Bečková, Štefan Pócoš, Giulia Belgiovine +4
The addressee estimation (understanding to whom somebody is talking) is a fundamental task for human activity recognition in multi-party conversation scenarios. Specifically, in th…
"iCub, We Forgive You!" Investigating Trust in a Game Scenario with Kids
Francesca Cocchella, Giulia Pusceddu, Giulia Belgiovine +3
This study presents novel strategies to investigate the mutual influence of trust and group dynamics in children-robot interaction. We implemented a game-like experimental activity…
Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
Jonas Gonzalez-Billandon, Giulia Belgiovine, Alessandra Sciutti +2
The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-givi…
A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
Giulia Belgiovine, Francesco Rea, Jacopo Zenzeri +1
Skilled motor behavior is critical in many human daily life activities and professions. The design of robots that can effectively teach motor skills is an important challenge in th…