Zhanfeng Zhu
Papers
3
Total Citations
15
H-Index
2
About
Dr. Zhanfeng Zhu is a researcher focused on the intersection of robotics, artificial intelligence, and industrial logistics, with a particular emphasis on intelligent path planning for mobile robots. His major contributions center on the application of ant colony optimization algorithms to solve complex navigation challenges in manufacturing environments. Dr. Zhu’s work addresses two critical aspects of autonomous robot movement: general path planning and obstacle avoidance, both essential for efficient manufacturing logistics. His most cited paper, "Research on the Mobile Robots Intelligent Path Planning Based on ANT Colony Algorithm Application in Manufacturing Logistics" (2014), has accumulated 10 citations, demonstrating its foundational role in this niche area. This research systematically analyzes the advantages and limitations of ant colony algorithms compared to other path planning methods, providing a practical framework for implementing these algorithms in real-world factory settings. Dr. Zhu’s subsequent work on obstacle avoidance further refines these techniques, offering solutions for dynamic environments where robots must navigate around unexpected barriers. His research is particularly valuable for students and engineers working on autonomous guided vehicles (AGVs) in smart factories, as it bridges theoretical algorithm design with practical manufacturing applications.
Research Focus
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Top Papers
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