Papers
3
Total Citations
182
H-Index
3
About
Mansen Chen is a leading researcher in advanced manufacturing, specializing in robotic machining, free-form surface fabrication, and intelligent feedrate optimization. His work bridges the gap between traditional CNC machining and modern industrial robotics, focusing on enhancing precision, efficiency, and kinematic control in complex surface milling. Chen’s most influential contribution is his comprehensive state-of-the-art review on path, feedrate, and trajectory planning for free-form surface machining (2021), which has garnered 172 citations and serves as a foundational reference for researchers and engineers in the field. He has also pioneered novel approaches to time-optimal feedrate scheduling, introducing a snap-bounded, analytical solution for robotic milling of complex parts (2025, 6 citations) that significantly improves productivity while maintaining kinematic constraints. Additionally, his work on online contour error compensation through multi-source characterization and path reconstruction (2025, 4 citations) addresses critical challenges in robotic accuracy. Chen’s research is highly impactful for industries requiring high-precision machining, such as aerospace and automotive manufacturing, and his innovative analytical methods offer practical, real-time solutions for industrial robotic systems.
Research Focus
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