Papers
1
Total Citations
8
H-Index
1
About
Yaolong Yu is a researcher advancing the frontiers of intelligent automation and industrial logistics. His work centers on path planning and optimization within the Industrial Internet of Things, with a particular focus on material scheduling in complex, real-world environments. Yu’s most notable contribution is the development of an improved RRT* algorithm, a breakthrough that enhances the efficiency and safety of autonomous navigation for material transport in smart factories. By refining this sampling-based planning method, he has addressed critical challenges in dynamic, obstacle-rich industrial scenarios, enabling faster, more reliable route generation. His paper on this topic, published in 2025, has already garnered 8 citations, signaling its immediate relevance to both academia and industry. This work not only demonstrates Yu’s technical expertise in robotics and algorithmic design but also underscores his commitment to bridging theoretical research with practical deployment. For students and researchers exploring the intersection of AI, robotics, and industrial automation, Yu’s research offers a compelling model of how algorithmic innovation can directly impact real-world manufacturing efficiency and safety.
Research Focus
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Top Papers
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