9 citations · 17 across the 7 of their papers we have counts for
7 papers
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…
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly with humans. In this sense, it is one of the…
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Carlo Mazzola, Marta Romeo, Francesco Rea +2
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment it is fundamental to understand some of the dy…
Shared perception is different from individual perception: a new look on context dependency
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Human perception is based on unconscious inference, where sensory input integrates with prior information. This phenomenon, known as context dependency, helps in facing the uncerta…
The world seems different in a social context: a neural network analysis of human experimental data
Maria Tsfasman, Anja Philippsen, Carlo Mazzola +3
Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli dif…