Xinning Li
Papers
3
Total Citations
15
H-Index
2
About
Xinning Li is a robotics researcher whose work focuses on intelligent mechanical systems, trajectory optimization, and machine vision for automation. Li’s major contributions lie in developing advanced algorithms to improve robot performance in practical applications, such as fruit box handling in orchards and multi-linkage robot design. Notably, Li proposed the Slime Mould Whale Optimization Algorithm for joint trajectory planning, addressing slow convergence and weak global search in existing methods. Additionally, Li’s research on multiview machine vision using an improved 2D kernel principal component analysis network enhances fruit box recognition, supporting orchard intelligent mechanization. Li also contributed to type synthesis for multi-linkage robots, emphasizing modular combination with virtual rotation centers to improve stability and systematization. With key papers accumulating citations (e.g., 7 and 6 citations), Li’s work demonstrates practical impact in agricultural robotics and mechanical design. This research is valuable for students and engineers interested in optimization algorithms, vision-based automation, and mechanism synthesis, offering solutions that bridge theoretical advances with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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