Yaxing Duan
Papers
2
Total Citations
44
H-Index
2
About
Yaxing Duan is a robotics researcher whose work centers on human-robot interaction (HRI) and intelligent manufacturing systems. His key contributions lie in developing predictive models for safe human-robot collaboration and optimizing robotic systems for industrial applications. Duan’s most cited work, “FSW robot system dimensional optimization and trajectory planning based on soft stiffness indices” (2020, 38 citations), advances friction stir welding by introducing novel stiffness-based optimization methods that improve robotic precision and adaptability in manufacturing. His research on human arm motion prediction, published in the same year, addresses a critical challenge in HRI by proposing a modified minimum jerk model that accurately forecasts human arm trajectories. This work tackles three fundamental problems in motion prediction, directly enhancing safety and efficiency when humans and robots share workspaces. With a citation count reflecting growing interest in collaborative robotics, Duan’s contributions are particularly valuable for developing intuitive, safe robotic systems that can anticipate human movement. His research bridges theoretical motion planning with practical industrial applications, making him a notable figure in the evolving field of human-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2