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Advances in Production Engineering & Management

Archives > Volume 16 | Number 4 | December 2021 > pp 405–417

Advances in Production Engineering & Management
Volume 16 | Number 4 | December 2021 | pp 405–417

https://doi.org/10.14743/apem2021.4.409

Optimal path planning of a disinfection mobile robot against COVID-19 in a ROS-based research platform
Banjanovic-Mehmedovic, L.; Karabegovic, I.; Jahic, J.; Omercic, M.
ABSTRACT AND REFERENCES (PDF)  |  FULL ARTICLE TEXT (PDF)

A B S T R A C T
Due to COVID-19 pandemic, there is an increasing demand for mobile robots to substitute human in disinfection tasks. New generations of disinfection robots could be developed to navigate in high-risk, high-touch areas. Public spaces, such as airports, schools, malls, hospitals, workplaces and factories could benefit from robotic disinfection in terms of task accuracy, cost, and execution time. The aim of this work is to integrate and analyse the performance of Particle Swarm Optimization (PSO) algorithm, as global path planner, coupled with Dynamic Window Approach (DWA) for reactive collision avoidance using a ROS-based software prototyping tool. This paper introduces our solution – a SLAM (Simultaneous Localization and Mapping) and optimal path planning-based approach for performing autonomous indoor disinfection work. This ROS-based solution could be easily transferred to different hardware platforms to substitute human to conduct disinfection work in different real contaminated environments.

A R T I C L E   I N F O
Keywords • Disinfection mobile robot; COVID-19; Optimal path planning; Particle Swarm Optimization (PSO); Simultaneous Localization and Mapping (SLAM); Dynamic Window Approach (DWA); Robot Operating System (ROS); ROS-based platform
Corresponding authorKarabegovic, I.
Article history • Received 19 November 2021, Revised 27 November 2021, Accepted 28 November 2021
Published on-line • 18 December 2021

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