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Classic And Heuristic Approaches In Robot Motion Planning A Chronological Review
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Cites
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
Cited by
Heuristic approaches in robot path planning: A survey
Mac, T. T., Copot, C., Tran, D. T., & De Keyser, R. (2016) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.08.001 · Cited by 641
Nazarahari, M., Khanmirza, E., & Doostie, S. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.08.008 · Cited by 454
Mobile robot path planning using membrane evolutionary artificial potential field
Orozco-Rosas, U., Montiel, O., & Sepúlveda, R. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.01.036 · Cited by 426
Robot path planning in uncertain environment using multi-objective particle swarm optimization
Zhang, Y., Gong, D.-W., & Zhang, J.-H. (2013) · Neurocomputing · doi:10.1016/j.neucom.2012.09.019 · Cited by 406
Mobile robot path planning using artificial bee colony and evolutionary programming
Contreras-Cruz, M. A., Ayala-Ramirez, V., & Hernandez-Belmonte, U. H. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.01.067 · Cited by 295
Metadata
- Authors
- Masehian, E., & Sedighizadeh, D.
- Published
- 2007-05-25
- Volume
- 1
- Issue
- 5
- Pages
- 228-233
- OpenAlex
- W1638373997
- Cited by
- 209
- References
- 2
- FWCI
- 8.73
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.