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Autori principali: Bono, Antonio, Brameld, Kenji, D'Alfonso, Luigi, Fedele, Giuseppe
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2403.13960
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author Bono, Antonio
Brameld, Kenji
D'Alfonso, Luigi
Fedele, Giuseppe
author_facet Bono, Antonio
Brameld, Kenji
D'Alfonso, Luigi
Fedele, Giuseppe
contents This paper presents a new software framework for HRI experimentation with the sixth version of the common NAO robot produced by the United Robotics Group. Embracing the common demand of researchers for better performance and new features for NAO, the authors took advantage of the ability to run ROS2 onboard on the NAO to develop a framework independent of the APIs provided by the manufacturer. Such a system provides NAO with not only the basic skills of a humanoid robot such as walking and reproducing movements of interest but also features often used in HRI such as: speech recognition/synthesis, face and object detention, and the use of Generative Pre-trained Transformer (GPT) models for conversation. The developed code is therefore configured as a ready-to-use but also highly expandable and improvable tool thanks to the possibilities provided by the ROS community.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13960
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Open Access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot
Bono, Antonio
Brameld, Kenji
D'Alfonso, Luigi
Fedele, Giuseppe
Robotics
Artificial Intelligence
This paper presents a new software framework for HRI experimentation with the sixth version of the common NAO robot produced by the United Robotics Group. Embracing the common demand of researchers for better performance and new features for NAO, the authors took advantage of the ability to run ROS2 onboard on the NAO to develop a framework independent of the APIs provided by the manufacturer. Such a system provides NAO with not only the basic skills of a humanoid robot such as walking and reproducing movements of interest but also features often used in HRI such as: speech recognition/synthesis, face and object detention, and the use of Generative Pre-trained Transformer (GPT) models for conversation. The developed code is therefore configured as a ready-to-use but also highly expandable and improvable tool thanks to the possibilities provided by the ROS community.
title Open Access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot
topic Robotics
Artificial Intelligence
url https://arxiv.org/abs/2403.13960