Zian Liu
Papers
1
Total Citations
5
H-Index
1
About
Zian Liu is a researcher in advanced manufacturing and robotics, with a focus on precision surface processing and multi-robot system safety. His most cited work, "Research on collision detection algorithm of multi-robot bonnet polishing system" (2020, 5 citations), addresses a critical challenge in automated polishing: ensuring safe, collision-free operation when multiple robots work in overlapping spaces. By simplifying robot models using sphere and capsule bounding boxes, Liu developed an efficient collision detection algorithm that enhances the stability and reliability of multi-robot bonnet polishing systems—a key technology for high-precision surface finishing in industries like aerospace and optics. This contribution supports the broader goal of automating complex, coordinated manufacturing tasks. Liu’s research sits at the intersection of robotics, collision avoidance, and surface engineering, offering practical solutions for industrial automation. While his citation count is modest, his work provides a foundational step toward safer, more efficient multi-robot collaboration in manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1