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A knowledge based genetic algorithm for path planning of a mobile robot
Abstract
In this paper, a knowledge based genetic algorithm (GA) for path planning of a mobile robot is proposed, which uses problem-specific genetic algorithms for robot path planning instead of the standard GAs. The proposed knowledge based genetic algorithm incorporates the domain knowledge into its specialized operators, where some also combine a local search technique. The proposed genetic algorithm also features a unique and simple path representation and a simple but effective evaluation method. The knowledge based genetic algorithm is capable of finding an optimal or near-optimal robot path in both complex static and dynamic environments. The effectiveness and efficiency of the proposed genetic algorithm is demonstrated by simulation studies. The irreplaceable role of the specialized genetic operators in the proposed GA for solving robot path planning problem is demonstrated by a comparison study.
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Citations
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
Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning
Lamini, C., Benhlima, S., & Elbekri, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.01.113 · Cited by 478
Rule-Based Reinforcement Learning for Efficient Robot Navigation With Space Reduction
Zhu, Y., Wang, Z., Chen, C., & Dong, D. (2022) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2021.3072675 · Cited by 57
Metadata
- Authors
- Hu, Y., & Yang, S. X.
- Venue
- IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
- Publisher
- IEEE
- Published
- 2004
- Pages
- 4350-4355 Vol.5
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2015136933
- Cited by
- 296
- References
- 0
- FWCI
- 4.51
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A knowledge based genetic algorithm for path planning of a mobile robot. https://app.cochat.ai/papers/10.1109/robot.2004.1302402
- The paper
- Hu, Y., & Yang, S. X. (2004). A knowledge based genetic algorithm for path planning of a mobile robot. IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. https://doi.org/10.1109/robot.2004.1302402
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
