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Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms

Year 2021, Volume: 34 Issue: 3, 765 - 784, 01.09.2021

Oluwaseun Martins Adefemi Adeyemi Adekunle Samuel Babatope Adejuyıgbe Hezekiah Oluwole Adeyemi

https://doi.org/10.35378/gujs.792682
Cited By: 2

Abstract

Path planning evaluates and identifies an obstacle free path for a wheeled mobile robot (WMR) to traverse within its workspace. It emphasizes metric like, start and goal coordinate, static or dynamic workspace, static or dynamic obstacles, computational time and local minimum problem. Path planning play a significant role toward WMR effective traverse within it workspace like industrial, military, hospital, school and office. In this workspace, path planning is an optimal method to increase the productivity of WMR to achieve it specific task. Hence, in this paper, we present a review of path planning algorithms (classical algorithms, heuristics and intelligent algorithms, and machine learning algorithm) for mobile robot using statistical method. Regarding our objective, we use this statistical method to evaluate the success of these algorithms base on the following metrics: architecture (hybrid or standalone), algorithm sub-category (global or local or combine), workspace (static or dynamic), obstacle type (static or dynamic), number of obstacle (≤ 2, ≤ 5, > 5) and test workspace (virtual or real-world). Research materials are sourced from recognized databases where relevant research articles are obtained and analyzed. Result shows hybrid of machine learning approach with heuristic and intelligent algorithm has superior performance where they are applied compare to other hybrid. Also, in complex workspace Q-learning algorithm outperforms other algorithms. To conclude future research is discussed to provide reference for hybrid of Q-learning algorithm with Cuckoo Search, Shuffled Frog Leaping and Artificial Bee Colony algorithm to improve its performance in complex workspace. 

Keywords

WMR Path planning Robot Workspace Algorithms

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Year 2021, Volume: 34 Issue: 3, 765 - 784, 01.09.2021

Oluwaseun Martins Adefemi Adeyemi Adekunle Samuel Babatope Adejuyıgbe Hezekiah Oluwole Adeyemi

https://doi.org/10.35378/gujs.792682
Cited By: 2

Abstract

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There are 130 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Computer Engineering
Authors

Oluwaseun Martins 0000-0003-3377-1218

Adefemi Adeyemi Adekunle This is me 0000-0001-6340-6145

Samuel Babatope Adejuyıgbe This is me 0000-0001-7206-0801

Hezekiah Oluwole Adeyemi 0000-0002-5815-7321

Publication Date September 1, 2021
Published in Issue Year 2021 Volume: 34 Issue: 3

Cite

APA Martins, O., Adekunle, A. A., Adejuyıgbe, S. B., Adeyemi, H. O. (2021). Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms. Gazi University Journal of Science, 34(3), 765-784. https://doi.org/10.35378/gujs.792682
AMA Martins O, Adekunle AA, Adejuyıgbe SB, Adeyemi HO. Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms. Gazi University Journal of Science. September 2021;34(3):765-784. doi:10.35378/gujs.792682
Chicago Martins, Oluwaseun, Adefemi Adeyemi Adekunle, Samuel Babatope Adejuyıgbe, and Hezekiah Oluwole Adeyemi. “Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms”. Gazi University Journal of Science 34, no. 3 (September 2021): 765-84. https://doi.org/10.35378/gujs.792682.
EndNote Martins O, Adekunle AA, Adejuyıgbe SB, Adeyemi HO (September 1, 2021) Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms. Gazi University Journal of Science 34 3 765–784.
IEEE O. Martins, A. A. Adekunle, S. B. Adejuyıgbe, and H. O. Adeyemi, “Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms”, Gazi University Journal of Science, vol. 34, no. 3, pp. 765–784, 2021, doi: 10.35378/gujs.792682.
ISNAD Martins, Oluwaseun et al. “Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms”. Gazi University Journal of Science 34/3 (September 2021), 765-784. https://doi.org/10.35378/gujs.792682.
JAMA Martins O, Adekunle AA, Adejuyıgbe SB, Adeyemi HO. Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms. Gazi University Journal of Science. 2021;34:765–784.
MLA Martins, Oluwaseun et al. “Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms”. Gazi University Journal of Science, vol. 34, no. 3, 2021, pp. 765-84, doi:10.35378/gujs.792682.
Vancouver Martins O, Adekunle AA, Adejuyıgbe SB, Adeyemi HO. Quantitative Performance Review of Wheeled Mobile Robot Path Planning Algorithms. Gazi University Journal of Science. 2021;34(3):765-84.

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