Papers
2
Total Citations
35
H-Index
2
About
Kuoran Zhang is a researcher specializing in intelligent robotics and autonomous navigation, with a particular focus on path planning algorithms for mobile robots and manipulators. Zhang’s major contributions lie in enhancing the efficiency and accuracy of motion planning in complex, obstacle-rich environments. In their highly cited 2022 work (27 citations), Zhang introduced a hybrid algorithm that integrates jump point search with ant colony optimization, significantly improving path accuracy and reducing unnecessary turns for mobile robots. More recently, in 2025 (8 citations), Zhang developed an improved RRT* algorithm for six-degree-of-freedom robotic arms, addressing critical challenges such as low sampling efficiency and path search failures in three-dimensional spaces. This work demonstrates Zhang’s ability to tackle real-world robotic manipulation problems. With a growing citation record, Zhang’s research is increasingly recognized for its practical impact on autonomous systems, offering scalable solutions that bridge theoretical optimization with real-time robotic control. Their work is essential reading for students and researchers advancing intelligent motion planning.
Research Focus
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Top Papers
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