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.

翻译：大型语言模型（LLMs）在医疗机器人领域的潜在应用，有助于应对全球医疗系统因人口老龄化和医疗专业人员短缺而面临的巨大需求。尽管LLMs已融入医学领域以辅助临床医生和患者，但LLMs在医疗机器人中的整合尚未在临床环境中得到探索。在本视角论文中，我们研究了机器人学和LLMs领域的突破性进展，特别针对设计基于LLM的医疗专用机器人所需的系统需求进行了独特识别，这些需求涉及通过人机交互（HRIs）的多模态通信、语义推理和任务规划。此外，我们讨论了这一新兴创新领域的伦理问题、开放挑战以及潜在的未来研究方向。