Scholarlink

<p>Healthcare staff shortages increase workloads and create a need for assistive robots capable of handling routine hospital tasks. Traditional rule-based systems struggle in dynamic environments and with unforeseen requests. We present an agile hospital assistive robot that interprets natural language instructions using an AI-based task planner and keyword retrieval to generate executable task sequences. The robot adapts in real time to additional user requests, reschedules tasks using a suboptimal genetic-algorithm-based approach, and recovers from execution failures with vision-language reasoning and AI suggestions. Deployed on a Temi robot with a custom Android application, the system demonstrates effective handling of dynamic changes, improved human-robot interaction efficiency, and positive feedback from nursing staff.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Agile assistive hospital robot for suboptimal Task execution in dynamic environments

  • 期刊论文

  • 发表日期：

    2026年5月24日

查看全文
  • Yun-Chi Chiang,
  • I-Pei Lee,
  • Li-Chen Fu,
  • Yun-Hsiang Lee

摘要

Healthcare staff shortages increase workloads and create a need for assistive robots capable of handling routine hospital tasks. Traditional rule-based systems struggle in dynamic environments and with unforeseen requests. We present an agile hospital assistive robot that interprets natural language instructions using an AI-based task planner and keyword retrieval to generate executable task sequences. The robot adapts in real time to additional user requests, reschedules tasks using a suboptimal genetic-algorithm-based approach, and recovers from execution failures with vision-language reasoning and AI suggestions. Deployed on a Temi robot with a custom Android application, the system demonstrates effective handling of dynamic changes, improved human-robot interaction efficiency, and positive feedback from nursing staff.