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arXiv Robotics — research abstracts· Mahek Aanthu, Om Aanthu, Aaryan AK Aanthu·· 2 days agoSignalEditorial score75

KR A1: Design and Preliminary Evaluation of a Humanoid-Robot Interaction Prototype Integrating Personalized Voice Synthesis, Contextual Dialogue, and Emotion-Aware Response Generation

KR A1: Design and Preliminary Evaluation of a Humanoid-Robot Interaction Prototype Integrating Personalized Voice Synthesis, Contextual Dialogue, and Emotion-Aware Response Generation

Summary

This paper describes KR A1, a humanoid-robot interaction prototype combining a locally hosted Qwen2.5-3B-Instruct LLM for dialogue, OpenVoice v2 for zero-shot voice synthesis, and an emotion-processing pipeline with keyword heuristics and LLM inference.

Editorial context

The authors report preliminary, informal evaluation of the voice-cloning component using eight acoustic similarity measures on a small development sample without statistical significance testing or clinical deployment.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

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arXiv:2611.09900v1 Announce Type: cross Abstract: This paper presents the design and preliminary evaluation of KR A1, a humanoid-robot interaction prototype that integrates personalized voice synthesis, contextual dialogue processing, and emotion-aware response generation for potential mental-healthcare applications. The system architecture combines a locally hosted large language model (Qwen2.5-3B-Instruct, served v

Open source S2

, informal development sample; no statistical significance testing against a held-out baseline was performed. The emotion-recognition accuracy, end-to-end response latency, and therapeutic or clinical impact of the integrated system have not yet been formally evaluated and are identified as directions for future work. All testing was informal and self-conducted by the development team; no patients or external human p

Open source S5

Source:arXiv Robotics — research abstracts · arxiv.org

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