The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Path Planning for the Mobile Robot: A Review
Open accessAbstract
Good path planning technology of mobile robot can not only save a lot of time, but also reduce the wear and capital investment of mobile robot. Several methodologies have been proposed and reported in the literature for the path planning of mobile robot. Although these methodologies do not guarantee an optimal solution, they have been successfully applied in their works. The purpose of this paper is to review the modeling, optimization criteria and solution algorithms for the path planning of mobile robot. The survey shows GA (genetic algorithm), PSO (particle swarm optimization algorithm), APF (artificial potential field), and ACO (ant colony optimization algorithm) are the most used approaches to solve the path planning of mobile robot. Finally, future research is discussed which could provide reference for the path planning of mobile robot.
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Cites
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Mobile robot path planning using artificial bee colony and evolutionary programming
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Cited by
Path planning techniques for mobile robots: Review and prospect
Liu, L., Wang, X., Yang, X., Liu, H., Li, J., & Wang, P. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120254 · Cited by 707
Path Planning for Autonomous Mobile Robots: A Review
Sánchez-Ibáñez, J. R., Pérez-del-Pulgar, C. J., & García-Cerezo, A. (2021) · Sensors · doi:10.3390/s21237898 · Cited by 462
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Bai, Y., Zhang, B., Xu, N., Zhou, J., Shi, J., & Diao, Z. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107584 · Cited by 353
A Fast Large-Scale Path Planning Method on Lunar DEM Using Distributed Tile Pyramid Strategy
Hong, Z., Tu, B., Tong, X., Pan, H., Zhou, R., Zhang, Y., Han, Y., Wang, J., Yang, S., & Ma, Z. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3226527 · Cited by 12
Multi-robot Path Planning Based on Spatio-Temporal Information in Large-scale Unknown Environment
Ding, J., Zhang, L., & Cheng, J. (2021) · 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) · doi:10.1109/m2vip49856.2021.9665033 · Cited by 3
Metadata
- Authors
- Zhang, H.-Y., Lin, W.-M., & Chen, A.-X.
- Venue
- Symmetry
- Publisher
- MDPI AG
- Published
- 2018-10-01
- Volume
- 10
- Issue
- 10
- Pages
- 450
- ISSN
- 2073-8994 (ISSN-L)
- OpenAlex
- W2895647709
- Cited by
- 447
- References
- 27
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- gold
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