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.

翻译：本文研究了面向家庭健康监测的经济型家用机器人解决方案。人工智能（AI）的最新进展显著提升了机器人的能力，使其能够更准确、高效地感知环境并与之交互。目前家庭中最常见的机器人是玩具机器人和清洁机器人。虽然这些机器人价格相对低廉，但其功能非常有限。另一方面，人形机器人和四足机器人虽然提供更复杂的功能与性能，但其成本也显著更高。另一类则是教育机器人，它们为教育工作者提供了灵活配置各类传感器、并将不同设计方法与集成操作系统相结合的可行性。然而，在可负担性与功能性之间实现平衡仍存在挑战。本研究旨在通过探索开发先进、经济且易于获取的家用健康监测机器人的潜力来解决这一问题，具体途径包括采用边缘计算技术，并充分利用家用机器人现有的计算资源（如手机）。