Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application

Artur Samojluk, Aleksandra Szpakowska

2025

Abstract

In this paper, we present a Path Planning Optimization Method (PPOM) designed for educational telemedicine robots. Based on the mereological potential field algorithm, it integrates data preprocessing and optimization tools to enhance efficiency. Our method addresses navigation challenges in complex, tightly spaced medical environments while emphasizing its educational value. By incorporating data selection, cleaning, and transformation, PPOM enables efficient path planning in maze-like layouts with long, narrow corridors, mimicking real-world hospital wards and patients’ homes. This equips telemedicine robots to navigate local traps and tight spaces, providing a robust framework for training students and professionals in robot navigation and decision-making. Simulation results confirm PPOM’s high performance in complex environments. The algorithm ensures precise navigation and effective obstacle avoidance, making it ideal for telemedicine applications. Unlike classical methods that struggle with blocked nodes, PPOM selects sectors, minimizing obstructions and improving computational efficiency. This enhances route passability, optimization, and reliability in dynamic environments.

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Paper Citation


in Harvard Style

Samojluk A. and Szpakowska A. (2025). Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 147-157. DOI: 10.5220/0013481400003932


in Bibtex Style

@conference{csedu25,
author={Artur Samojluk and Aleksandra Szpakowska},
title={Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2025},
pages={147-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013481400003932},
isbn={978-989-758-746-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Training Telemedicine Robots: A Path Planning Optimization Method for Educational and Medical Application
SN - 978-989-758-746-7
AU - Samojluk A.
AU - Szpakowska A.
PY - 2025
SP - 147
EP - 157
DO - 10.5220/0013481400003932
PB - SciTePress