4 papers
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…
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…