日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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医療ロボティクスarXiv:2509.03436

感染症パンデミック管理に向けたIoT対応ロボットナースのコスト最適化システム工学

Cost-Optimized Systems Engineering for IoT-Enabled Robot Nurse in Infectious Pandemic Management

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IoTで制御されるロボットナースのシステムを設計し、患者の健康状態評価や投薬などの性能とライフサイクルコストを評価した。

著者: Md Mhamud Hussen Sifat, Md Maruf, Md Rokunuzzaman

分類: cs.RO, cs.HC, cs.SY, eess.SY

原文アブストラクト

The utilization of robotic technology has gained traction in healthcare facilities due to progress in the field that enables time and cost savings, minimizes waste, and improves patient care. Digital healthcare technologies that leverage automation, such as robotics and artificial intelligence, have the potential to enhance the sustainability and profitability of healthcare systems in the long run. However, the recent COVID-19 pandemic has amplified the need for cyber-physical robots to automate check-ups and medication administration. A robot nurse is controlled by the Internet of Things (IoT) and can serve as an automated medical assistant while also allowing supervisory control based on custom commands. This system helps reduce infection risk and improves outcomes in pandemic settings. This research presents a test case with a nurse robot that can assess a patient's health status and take action accordingly. We also evaluate the system's performance in medication administration, health-status monitoring, and life-cycle considerations.

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