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

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Authors: Austin Wilson, Sahar Kapasi, Zane Greene, Alexis E. Block
Cited by: 0
References: 19

Abstract

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.

Fields of Study & Subjects

Social Robot Interaction and HRI Speech and dialogue systems Robotics and Automated Systems

Publication details

Journal / source
IEEE/SICE International Symposium on System Integration (SII)
Pages
1779–1785
Publication date
11 January 2026
Language
EN