Development of a Service Robot for Hospital Environments in Rehabilitation Medicine with LiDAR Based Simultaneous Localization and Mapping

TL;DR

This paper details the development and evaluation of a hospital service robot utilizing 3D LiDAR and SLAM for autonomous navigation, demonstrating improved accuracy and reliability in healthcare environments.

Contribution

It introduces a novel integration of LiDAR-based SLAM with NDT Matching for precise indoor navigation in hospital robots, validated through empirical testing.

Findings

Enhanced navigation accuracy in hospital settings

Improved obstacle avoidance capabilities

Demonstrated system reliability through empirical validation

Abstract

This paper presents the development and evaluation of a medical service robot equipped with 3D LiDAR and advanced localization capabilities for use in hospital environments. The robot employs LiDAR-based Simultaneous Localization and Mapping SLAM to navigate autonomously and interact effectively within complex and dynamic healthcare settings. A comparative analysis with established 3D SLAM technology in Autoware version 1.14.0, under a Linux ROS framework, provided a benchmark for evaluating our system performance. The adaptation of Normal Distribution Transform NDT Matching to indoor navigation allowed for precise real-time mapping and enhanced obstacle avoidance capabilities. Empirical validation was conducted through manual maneuvers in various environments, supplemented by ROS simulations to test the system response to simulated challenges. The findings demonstrate that the robot integration of 3D LiDAR and NDT Matching significantly improves navigation accuracy and operational reliability in a healthcare context. This study highlights the robot ability to perform essential tasks with high efficiency and identifies potential areas for further improvement, particularly in sensor performance under diverse environmental conditions. The successful deployment of this technology in a hospital setting illustrates its potential to support medical staff and contribute to patient care, suggesting a promising direction for future research and development in healthcare robotics.