@inproceedings{04ae91dea121492b99c7857550a4a2df,
title = "Hands-on: From Zero to an Interactive Social Robot Using ROS4HRI and LLMs",
abstract = "This tutorial aims at providing an up-to-date picture of the state-of-art regarding using the Robot Operating System (ROS) to build robots with socio-cognitive capabilities. The tutorial will briefly introduce the ROS4HRI framework, and show how it can be used to build a complete social robot architecture, from human perception to expressive social interaction. We will illustrate the full software integration required to implement an autonomous social robot using a combination of open-source ROS-based social perception modules, a semantic knowledge base, a Large Language Model (LLM), and multi-modal expressiveness. Participants will be able to follow along using a simple social interaction simulator, as well as their own webcams. The organisers will also provide a new PAL Robotics TIAGo Pro stand-alone head to demonstrate the same system running on actual hardware.",
keywords = "Large Language Models, ROS, ROS 2, ROS4HRI, Social Robotics",
author = "S{\'e}verin Lemaignan and Lorenzo Ferrini and Ferran Gebelli and Raquel Ros and Luka Juri{\v c}i{\'c} and Sara Cooper",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 ; Conference date: 04-03-2025 Through 06-03-2025",
year = "2025",
doi = "10.1109/HRI61500.2025.10974214",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE Computer Society",
pages = "2009--2010",
booktitle = "HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}