Yunjie Xu

Papers

Total Citations

H-Index

About

Yunjie Xu’s research focuses on industrial robotics, specifically the design and control of palletizing robot workstations. His major contributions lie in developing practical algorithms and control systems that address real-world challenges in automated palletizing—a critical task in logistics and manufacturing. His most-cited work, “Design of palletizing algorithm based on palletizing robot workstation” (2016, 8 citations), systematically analyzes stacking styles, including overlap and interlaced patterns, to optimize box packaging efficiency. In a related study (2016, 2 citations), Xu advanced the field by designing a control system for a four-degree-of-freedom articulated robot, incorporating a rigid-flexible coupling dynamics model to account for joint flexibility—a key factor in precision and stability. This work, implemented on a CRP controller, demonstrates his ability to bridge theoretical modeling with practical automation. Though his citation counts are modest, Xu’s research provides foundational insights for engineers seeking to improve palletizing robot performance, particularly in handling special packaging cases. His achievements highlight a focused effort to enhance industrial automation through algorithm design and system integration, offering valuable lessons for students and researchers in robotics and manufacturing.