Optimization of Probabilistic Roadmap Based on Two-Dimensional Static Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50580-5_35
Reference11 articles.
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2. Ma’Arif, A., Rahmaniar, W., Vera, M.A.M., et al.: Artificial potential field algorithm for obstacle avoidance in UAV quadrotor for dynamic environment. In: 2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), pp. 184–189. IEEE (2021)
3. Zeng, N., Zhang, H., Chen, Y., et al.: Path planning for intelligent robot based on switching local evolutionary PSO algorithm. Assem. Autom. (2016)
4. Brand, M., Masuda, M., Wehner, N., et al.: Ant colony optimization algorithm for robot path planning. In: 2010 International Conference on Computer Design and Applications, vol. 3, pp. V3-436–V3-440. IEEE (2010)
5. Goldberg, D.E.: Genetic algorithms in search, optimization, and machine learning. Queen’s University Belfast (2010)
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