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

2025-09-22

AI Summary

To address the challenge of integrating modern multimodal interaction capabilities into legacy robotic platforms (e.g., NAO) abandoned by manufacturers, this paper proposes a platform-agnostic hardware-software co-upgrading framework. It augments the robot with a beamforming microphone array, RGB-D and thermal cameras, and an edge computing module—preserving its original mechanical expressiveness while enabling a cloud-edge collaborative perception-dialogue system. The framework innovatively resolves multi-speaker voice separation and acoustic echo cancellation (AEC), significantly enhancing environmental perception and natural language understanding. Experimental results demonstrate that the upgraded system outperforms the NAO AI Edition in dialogue quality, user preference, and speaker separation accuracy, without increasing response latency. This approach effectively extends the operational lifespan of aging research platforms.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Natural Language Processing: Language Grounding & Multi-modal NLP
• Machine Learning: Multimodal Learning

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Many research groups face challenges when legacy (unsupported) robotic platforms lose manufacturer support and cannot accommodate modern sensing, speech, and interaction capabilities. We present the Enhanced NAO, a revitalized version of Aldebaran's NAO robot that uses upgraded microphones, RGB-D and thermal cameras, and additional compute resources in a fully self-contained package. This system combines cloud and local models for perception and dialogue, while preserving the NAO's expressive body and behaviors. In a pilot validation study, the Enhanced NAO delivered significantly higher conversational quality and stronger user preference compared to the NAO AI Edition, without increasing response latency. Key upgrades, such as beamforming microphones and low-latency audio processing, reduced artifacts like self-hearing and improved multi-party separation. Expanded visual and thermal sensing established a foundation for future interaction capabilities. Beyond the NAO, 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.

Problem

• Extending capabilities of unsupported legacy robots for modern research
• Overcoming limitations in sensing, speech, and interaction technologies
• Providing platform-agnostic strategy to revitalize outdated robotic systems

Innovation

• Upgraded microphones cameras compute in self-contained package
• Combined cloud local models for perception dialogue
• Platform-agnostic strategy extending lifespan legacy robots