Mobile robots path planning using ant colony optimization and Fuzzy Logic algorithms in unknown dynamic environments-Reference-Cited by-同舟云学术

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Mobile robots path planning using ant colony optimization and Fuzzy Logic algorithms in unknown dynamic environments

Published:2013-12 Issue: Volume: Page:
ISSN:
Container-title:2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE)
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Author:

Purian Fatemeh Khosravi,Sadeghian Ehsan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6720232/6733682/06733718.pdf?arnumber=6733718

Cited by 25 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. Multi‐Objective Route Outlining and Collision Avoidance of Multiple Humanoid Robots in a Cluttered Environment;Journal of Field Robotics;2024-09-05

2. Advancements and Challenges in Mobile Robot Navigation: A Comprehensive Review of Algorithms and Potential for Self-Learning Approaches;Journal of Intelligent & Robotic Systems;2024-08-17

3. A hybrid fuzzy logic based ant colony routing optimization system for wireless communications;Optical and Quantum Electronics;2024-01-30

4. Ant-Colony-Inspired Grid Graph Optimization for Improving Logistic Performance of Multi-AMR Systems;Lecture Notes in Networks and Systems;2024

5. Path Planning of UAV in an Uncertain Static Environment Using Probability Fuzzy Logic;2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS);2023-09-01

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