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Evaluating Dijkstra and A* Pathfinding Algorithms for Mobile Robots in Warehouse Environments Using CoppeliaSim Cover

Evaluating Dijkstra and A* Pathfinding Algorithms for Mobile Robots in Warehouse Environments Using CoppeliaSim

Open Access
|Mar 2026

Figures & Tables

Figure 1.

Simulation setup in CoppeliaSim

Figure 2.

Simulation of Dijkstra algorithm in CoppeliaSim

Figure 3.

Simulation of A* algorithm in CoppeliaSim

Figure 4.

Implementation of algorithms in mobile robot for target rack (6, 4)

Figure 5.

Implementation of algorithms in mobile robot for target rack (4, 6)

Computational time to reach the target rack

Target NodeComputational Times (s)
Dijkstra algorithmA* algorithm% difference in time
(9,9)584723
(6,4)433910
(4,6)484117

Summary of research work

CriteriaDistance Traveled (m)
Dijkstra algorithmA* algorithm
Path optimalityGoodBetter
SpeedSlowerModerate
Heuristic useNoYes
Computational costHigherLower
Implementation easeEasyModerate
DOI: https://doi.org/10.14313/jamris-2026-012 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 113 - 120
Submitted on: Aug 26, 2025
|
Accepted on: Aug 27, 2025
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Published on: Mar 31, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Prabin Kumar Jha, Shambo Roy Chowdhury, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.