Research Article
Improved Path Planning of Mobile Robot using Atom Search Optimization Algorithm
@INPROCEEDINGS{10.4108/eai.7-9-2021.2314437, author={Shahad M. Majeed and Issa Ahmed Abed and Alaa A. Al-Saffar}, title={Improved Path Planning of Mobile Robot using Atom Search Optimization Algorithm }, proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2022}, month={1}, keywords={mobile robot route planning atom search optimization algorithm particle swarm optimization}, doi={10.4108/eai.7-9-2021.2314437} }- Shahad M. Majeed
Issa Ahmed Abed
Alaa A. Al-Saffar
Year: 2022
Improved Path Planning of Mobile Robot using Atom Search Optimization Algorithm
IMDC-IST
EAI
DOI: 10.4108/eai.7-9-2021.2314437
Abstract
Robots have found applications in a variety of settings, ranging from speeding up manufacturing processes for completing complex jobs in hazardous and hostile areas. Path planning for mobile robots is one of the most difficult challenges in robotics. Robot route planning is a difficult optimization issue that must be tackled in a variety of applications. In this paper, we proposed the Atom search optimization (ASO) algorithm to improve the mobile robot path with free, static and dynamic obstacles environments and compare the results with the particle swarm optimization (PSO) algorithm. The “atom search optimization” algorithm is a novel algorithm that was used for the first time in this study to plan the route of a mobile robot. This algorithm has improved the path and the execution time(time required for the robot to reach the destination) was reduced. The authors checked the proposed method with several cases using MATLAB2020a software. It has been demonstrated that the suggested strategy, rather than PSO, found better, more consistent, and smoother pathways with a shorter computation time.
