An Improvement of D* Algorithm for Mobile Robot Path Planning in Partial Unknown Environment

Author:

Guo Jianming,Liu Liang,Liu Qing,Qu Yongyu

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on robot path planning with safe distance optimization;Robotic Intelligence and Automation;2024-06-27

2. Quantitative Comparison of Path Planning Algorithms in Simulated Environment;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

3. Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments;Actuators;2024-01-09

4. Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning;Soft Computing;2023-12-14

5. Hybrid path planning algorithm for mobile robot based on A* algorithm fused with DWA;2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA);2023-05-26

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