Enhancing the NAO: Extending Capabilities of Legacy Robots for Long-Term Research

Fuente: arXiv
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Autores principales: Wilson, Austin, Kapasi, Sahar, Greene, Zane, Block, Alexis E.
Formato: Preprint
Publicado: 2025
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author Wilson, Austin
Kapasi, Sahar
Greene, Zane
Block, Alexis E.
author_facet Wilson, Austin
Kapasi, Sahar
Greene, Zane
Block, Alexis E.
contents Legacy (unsupported) robotic platforms often lose research utility when manufacturer support ends, preventing integration of modern sensing, speech, and interaction capabilities. We present the Enhanced NAO, a revitalized version of Aldebaran's NAO robot featuring upgraded beamforming microphones, RGB-D and thermal cameras, and additional compute resources in a fully self-contained package. This system combines cloud-based and local models for perception and dialogue, while preserving the NAO's expressive body and behaviors. In a pilot user study validating conversational performance, the Enhanced NAO delivered significantly higher conversational quality and elicited stronger user preference compared to the NAO AI Edition, without increasing response latency. The added visual and thermal sensing modalities established a foundation for future perception-driven interaction. Beyond this implementation, our framework provides a platform-agnostic strategy for extending the lifespan and research utility of legacy robots, ensuring they remain valuable tools for human-robot interaction.
format Preprint
id arxiv_https___arxiv_org_abs_2509_17760
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Enhancing the NAO: Extending Capabilities of Legacy Robots for Long-Term Research
Wilson, Austin
Kapasi, Sahar
Greene, Zane
Block, Alexis E.
Robotics
Human-Computer Interaction
Audio and Speech Processing
Legacy (unsupported) robotic platforms often lose research utility when manufacturer support ends, preventing integration of modern sensing, speech, and interaction capabilities. We present the Enhanced NAO, a revitalized version of Aldebaran's NAO robot featuring upgraded beamforming microphones, RGB-D and thermal cameras, and additional compute resources in a fully self-contained package. This system combines cloud-based and local models for perception and dialogue, while preserving the NAO's expressive body and behaviors. In a pilot user study validating conversational performance, the Enhanced NAO delivered significantly higher conversational quality and elicited stronger user preference compared to the NAO AI Edition, without increasing response latency. The added visual and thermal sensing modalities established a foundation for future perception-driven interaction. Beyond this implementation, our framework provides a platform-agnostic strategy for extending the lifespan and research utility of legacy robots, ensuring they remain valuable tools for human-robot interaction.
title Enhancing the NAO: Extending Capabilities of Legacy Robots for Long-Term Research
topic Robotics
Human-Computer Interaction
Audio and Speech Processing
url https://arxiv.org/abs/2509.17760