用手机算力让家用机器人低成本实现健康监测
Do We Need iPhone Moment or Xiaomi Moment for Robots? Design of Affordable Home Robots for Health Monitoring
- 借手机等现有设备算力，通过边缘计算降低机器人成本
- 在不牺牲功能的前提下，实现健康监测等进阶能力
- 适合关注普惠智能硬件的开发者与医疗科技从业者
本文研究面向家庭健康监测的低成本机器人解决方案。近年来人工智能技术的进展显著提升了机器人的环境理解与交互能力。当前家用机器人主要包括玩具型、清洁型和教育型三类：前者功能有限，后者价格昂贵，而教育机器人虽可灵活扩展传感器与系统，仍难以兼顾成本与功能。本研究旨在通过边缘计算技术，利用家庭中已有的计算资源（如智能手机），探索兼具先进性与可及性的家用机器人设计路径，实现对居家人群的健康状态持续监测，推动智能健康服务的普及。
原文摘要 · Abstract (English)
In this paper, we study cost-effective home robot solutions which are designed for home health monitoring. The recent advancements in Artificial Intelligence (AI) have significantly advanced the capabilities of the robots, enabling them to better and efficiently understand and interact with their surroundings. The most common robots currently used in homes are toy robots and cleaning robots. While these are relatively affordable, their functionalities are very limited. On the other hand, humanoid and quadruped robots offer more sophisticated features and capabilities, albeit at a much higher cost. Another category is educational robots, which provide educators with the flexibility to attach various sensors and integrate different design methods with the integrated operating systems. However, the challenge still exists in bridging the gap between affordability and functionality. Our research aims to address this by exploring the potential of developing advanced yet affordable and accessible robots for home robots, aiming for health monitoring, by using edge computing techniques and taking advantage of existing computing resources for home robots, such as mobile phones.
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