Yuyang Lu
Papers
2
Total Citations
11
H-Index
2
About
Yuyang Lu is a researcher focused on advancing high-speed robotic positioning through intelligent trajectory optimization. His primary research areas include robotics motion planning, swarm intelligence algorithms, and jerk-suppression techniques for industrial automation. Lu’s major contribution lies in developing an improved Chicken Swarm Optimization (CSO) algorithm that, when combined with five-order B-spline interpolation, ensures smooth and continuous acceleration profiles while minimizing motion jerk. This work directly addresses critical challenges in robotic arm performance—namely, low solution accuracy and slow convergence in traditional optimization methods. His most-cited paper, "Trajectory Optimization of High-Speed Robotic Positioning with Suppressed Motion Jerk via Improved Chicken Swarm Algorithm" (2023), has garnered 7 citations, reflecting growing interest in efficient, jerk-aware trajectory planning. A closely related follow-up study (4 citations) further validates the approach. Lu’s research is particularly notable for its practical impact on high-speed manufacturing and precision assembly, where reduced jerk improves both positioning accuracy and mechanical longevity. His work bridges computational intelligence and real-world robotics, offering a scalable framework for next-generation automated systems.
Research Focus
Key Achievements
Top Papers
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