Xianhai Yang
Papers
4
Total Citations
25
H-Index
3
About
Xianhai Yang is a leading researcher in robotics, with a primary focus on the design, control, and intelligent automation of multi-linkage and handling robots. His work addresses critical challenges in mechanical synthesis and trajectory optimization. Yang made a significant contribution with his development of a dimensional synthesis method for multi-linkage robots using a Niched Pareto Genetic Algorithm, a foundational paper with 10 citations that tackles the complexity of optimizing robot flexibility and workspace density. He further advanced robot motion control by proposing the Slime Mould Whale Optimization Algorithm for joint trajectory planning, a novel approach that enhances convergence speed and global search ability (7 citations). In the realm of agricultural automation, Yang pioneered a multiview machine vision system for fruit box handling robots, employing an improved 2D Kernel Principal Component Analysis Network to achieve robust object recognition (6 citations). His work on type synthesis based on modular combination with virtual rotation centers provides a systematic framework for designing multi-linkage mechanisms. With a total of 25 citations across his key publications, Yang’s research is driving progress in both theoretical mechanism design and practical robotic applications for intelligent agriculture.
Research Focus
Key Achievements
Top Papers
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