5 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 Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta BeÄková, Å tefan PócoÅ¡, 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…
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 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…