Baoquan Liu
Papers
1
Total Citations
18
H-Index
1
About
Baoquan Liu is a researcher whose work sits at the intersection of industrial robotics and advanced manufacturing, with a particular focus on automated trajectory planning for complex pipe geometries. His most cited paper, "Research on winding trajectory planning for elbow pipe based on industrial robot" (2017, 18 citations), addresses a critical challenge in composite material fabrication: the precise, automated winding of fibers around non-linear pipe elbows. This contribution is significant because it bridges the gap between theoretical robotics algorithms and practical, high-value industrial applications—such as aerospace and automotive components—where manual winding is time-consuming and error-prone. By developing a trajectory planning method that accounts for the unique curvature and constraints of elbow pipes, Liu has provided a foundation for more efficient, repeatable, and quality-controlled robotic manufacturing processes. While his citation count reflects a specialized niche, the impact of this work is evident in its direct applicability to industries seeking to automate complex composite layups. Liu’s research exemplifies how targeted engineering solutions can drive innovation in production technology, making him a valuable contributor to the field of industrial robotics and automated manufacturing.
Research Focus
Key Achievements
Top Papers
- 1