构建通用养老机器人AI架构，实现安全、个性化交互。
AoECR: AI-ization of Elderly Care Robot
- 基于护理床构建专用交互数据集，微调大模型执行护理操作。
- 零样本泛化能力验证，能理解指令并生成安全控制命令。
- 适合智能养老、人机交互研究者参考，推动服务机器人发展。
自主交互对养老机器人的有效应用至关重要。然而，由于机器人配置多样且缺乏数据集，构建通用的AI架构极具挑战。本文提出一种面向养老机器人的通用AI化架构AoECR。具体而言，基于护理床构建了专用于老年照护场景的患者-护士交互数据集，并微调大语言模型以实现护理操作执行。推理过程引入自检链，确保控制命令的安全性；专家优化流程进一步提升了交互响应的人性化与个性化。物理实验表明，AoECR在多种场景下具备零样本泛化能力，可准确理解患者指令，执行安全控制命令，并输出人性化、个性化的交互响应。本研究为养老机器人提供了有价值的数据集参考与AI化解决方案。
原文摘要 · Abstract (English)
Autonomous interaction is crucial for the effective use of elderly care robots. However, developing universal AI architectures is extremely challenging due to the diversity in robot configurations and a lack of dataset. We proposed a universal architecture for the AI-ization of elderly care robots, called AoECR. Specifically, based on a nursing bed, we developed a patient-nurse interaction dataset tailored for elderly care scenarios and fine-tuned a large language model to enable it to perform nursing manipulations. Additionally, the inference process included a self-check chain to ensure the security of control commands. An expert optimization process further enhanced the humanization and personalization of the interactive responses. The physical experiment demonstrated that the AoECR exhibited zero-shot generalization capabilities across diverse scenarios, understood patients' instructions, implemented secure control commands, and delivered humanized and personalized interactive responses. In general, our research provides a valuable dataset reference and AI-ization solutions for elderly care robots.
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