JOURNAL ARTICLE

Hepatitis nursing robot based on RP-lidarA1 sensor.

  • Published In: Bio-Medical Materials & Engineering, 2025, v. 36, n. 4. P. 222 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dai, Yunxia; Xue, Bei; Zhang, Qian; Shao, Juxiang 3 of 3

Abstract

This article focuses on the development and evaluation of a hepatitis care robot integrating the RP-lidarA1 sensor to enhance environmental perception, mapping, and navigation in hospital settings. The robot employs an improved Rao-Blackwell Particle Filter Simultaneous Localization and Mapping (RBPF-SLAM) algorithm for high-precision map construction and combines the A* algorithm with the Dynamic Window Approach (DWA) algorithm for optimized path planning and obstacle avoidance. Simulation results demonstrated that the improved RBPF-SLAM algorithm reduced particle usage and map construction time while maintaining accuracy, and practical application surveys showed high satisfaction rates among 118 hepatitis patients (92.4%) and 22 nurses (81.8%). The study concludes that this sensor-integrated robot effectively improves nursing quality and efficiency, though further enhancements in dynamic environment adaptability and human-machine interaction are recommended for future research.

Additional Information

  • Source:Bio-Medical Materials & Engineering. 2025/07, Vol. 36, Issue 4, p222
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:0959-2989
  • DOI:10.1177/09592989241313110
  • Accession Number:186678788
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