Abstract
The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging demographic and a shortage of healthcare professionals. Even though LLMs have already been integrated into medicine to assist both clinicians and patients, the integration of LLMs within healthcare robots has not yet been explored for clinical settings. In this perspective paper, we investigate the groundbreaking developments in robotics and LLMs to uniquely identify the needed system requirements for designing health specific LLM based robots in terms of multi modal communication through human robot interactions (HRIs), semantic reasoning, and task planning. Furthermore, we discuss the ethical issues, open challenges, and potential future research directions for this emerging innovative field.
Abstract (translated)
大型语言模型（LLMs）在医疗机器人中的潜在应用，可以帮助应对全球范围内因人口老龄化和医护人员短缺而对 healthcare 系统提出的重大需求。尽管 LLMs 已经被整合到医学中以帮助临床医生和患者，但将 LLMs 集成到医疗机器人中的方法尚未在临床环境中得到探索。在这篇视角论文中，我们探讨了机器人技术与 LLMs 的突破性发展，以独特地确定设计特定于健康领域的基于 LLM 机器人的系统需求，特别是在通过人机交互（HRIs）实现多模态通信、语义推理和任务规划方面的需求。此外，我们还讨论了这一新兴创新领域中的伦理问题、开放挑战以及潜在的未来研究方向。 注：原文中的 "healthcare systems" 已经被直接翻译为“医疗系统”，而 "address the significant demand put on healthcare systems" 被解释为应对医疗系统的重大需求。此外，考虑到中文表达习惯，“health specific” 直译可能不够自然，因此调整为“特定于健康领域”。
URL
https://arxiv.org/abs/2411.03287
