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Cited by 150Robotic Path Planning AlgorithmsMetaheuristic Optimization Algorithms ResearchEvacuation and Crowd Dynamics

An intelligence-based hybrid PSO-SA for mobile robot path planning in warehouse

Lin, Shiwei, Liu, Ang, Wang, Jianguo, Kong, Xiaoying·2023·Journal of Computational Science
DOI 10.1016/j.jocs.2022.101938
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Crossref · 10.1016/j.jocs.2022.101938

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1 of 1 references verified0 citation errors · 0 not checkable

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  • AI algorithms can be used to optimize the path that a robot or AGV takes through a manufacturing facility, reducing travel time and increasing efficiency.

    “Path optimization: AI algorithms can be used to optimize the path that a robot or AGV takes through a manufacturing facility, reducing travel time and increasing efficiency [78] .”

    From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [78]

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Authors
Lin, S., Liu, A., Wang, J., & Kong, X.
Affiliations
  • University of Technology Sydney (AU)
  • Melbourne Institute of Technology (AU)
Corresponding author
Lin, Shiwei
ORCID
Venue
Journal of Computational Science
Publisher
Elsevier BV
Published
2023-03
Volume
67
Pages
101938
ISSN
1877-7503 (ISSN-L)
DOI
10.1016/j.jocs.2022.101938
OpenAlex
W4313531156
Cited by
150
References
1
Citations by year
2026: 32 · 2025: 52 · 2024: 41 · 2023: 25
FWCI
9.31
Type
journal article
Language
en
Update notices
erratum (2024-03-01)
Open access
closed
Licence
Locations
Journal of Computational Science (publishedVersion)
Funders
China Scholarship Council
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Engineering › Ocean Engineering › Evacuation and Crowd Dynamics
Keywords
mobile robot path planning, automated guided vehicles, particle swarm optimization, simulated annealing, collision avoidance, path length minimization, smooth path generation, smart logistics, warehouse automation

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