Papers
1
Total Citations
4
H-Index
1
About
Taiwen Qiu is a researcher whose work lies at the intersection of robotics, manufacturing, and computer-aided design, with a particular focus on the automation of surface finishing processes. His primary research area involves developing intelligent path planning and generation systems for robotic polishing of complex, free-form surfaces—a critical challenge in industries like aerospace, automotive, and mold making. In his most-cited work, "Path Generation for Robotic Polishing of Free-form Surfaces" (2019), Qiu introduced an off-line programming system that extracts CAD data from STL files, builds topology relations of triangular facets, and employs a direction-parallel path pattern to reduce the degrees of freedom needed for tool movement. This contribution addresses a key bottleneck in automating high-precision finishing tasks, offering a more efficient and flexible approach compared to traditional manual or CNC methods. With 4 citations, this foundational work has laid the groundwork for further advancements in robotic surface treatment, showcasing Qiu’s ability to bridge theoretical algorithms with practical manufacturing solutions. His research continues to push the boundaries of how robots can handle intricate, non-repetitive tasks in modern production environments.
Research Focus
Key Achievements
Top Papers
- 1Path Generation for Robotic Polishing of Free-form Surfaces4 citations · 2019