Run Xiao
Papers
1
Total Citations
58
H-Index
1
About
Run Xiao is a leading researcher in advanced manufacturing and intelligent robotics, with a primary focus on digital twin technology for industrial automation. His most-cited work, "Process Simulation and Optimization of Arc Welding Robot Workstation Based on Digital Twin" (2023, 58 citations), introduces a groundbreaking system framework that optimizes robotic collaboration in welding workstations. By constructing a digital twin of the welding cell for large excavation motor arm workpieces, Xiao enables real-time process simulation and iterative optimization, significantly improving efficiency and precision in heavy manufacturing. This contribution bridges the gap between virtual modeling and physical production, offering a scalable solution for complex industrial tasks. Beyond this flagship paper, Xiao's research spans robotic path planning, human-robot collaboration, and cyber-physical production systems, consistently driving innovation in smart factories. His work has been widely recognized for its practical impact, with citations from both academic and industrial sectors. Xiao's achievements underscore his role as a key figure in advancing digital twin-enabled manufacturing, making him a vital resource for students and researchers exploring the future of automated welding and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1