Bingkai Yan
Papers
1
Total Citations
6
H-Index
1
About
Bingkai Yan is a robotics researcher whose work centers on the dynamics, modeling, and control of parallel manipulators, with a particular focus on high-speed Delta robots. His major contribution lies in developing precise dynamics models that account for complex mechanical subsystems—such as telescopic rods and revolute legs—to enable accurate torque feedforward control. This approach significantly improves motion precision and reduces tracking errors in industrial automation applications. Yan’s most-cited paper, "Dynamics Modeling of a Delta Robot with Telescopic Rod for Torque Feedforward Control" (2022), has garnered 6 citations, establishing a foundation for advanced control strategies in parallel robotics. His work bridges theoretical mechanics and practical implementation, offering engineers robust frameworks for designing faster, more reliable pick-and-place systems. Yan’s research is particularly notable for its systematic treatment of generalized coordinate systems and the coupling between actuator and platform dynamics. By addressing real-world challenges in robot calibration and feedforward compensation, he contributes to the broader goal of making industrial robots more efficient and precise. His findings are valuable for students and researchers exploring model-based control in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1