Yilin Mu
Papers
8
Total Citations
112
H-Index
6
About
Yilin Mu is a robotics and manufacturing researcher specializing in robotic grinding, precision machining, and intelligent force control systems, with a particular focus on the high-precision finishing of aero-engine components. His work addresses one of aerospace manufacturing's most demanding challenges: achieving accurate, efficient robotic grinding of complex geometries such as turbine and compressor blades, where dimensional tolerances are exceptionally tight and surface profiles are highly irregular. Mu's most influential contribution, a novel dwell-time-based toolpath planning method for grinding extremely thin blade edges (2022, 51 citations), demonstrated that carefully modeled dwell time calculations combined with advanced interpolation algorithms could dramatically improve both precision and efficiency in robotic grinding workflows. Building on this foundation, he developed region-based force control strategies and dynamic observer-based contact force frameworks that tackle the persistent challenges of nonlinear contact states and uneven material allowances across blade surfaces. His more recent work extends into model predictive adaptive impedance control and mesh-driven trajectory planning, reflecting a broadening research scope toward intelligent, adaptive robotic systems. With over 110 cumulative citations across eight publications, Mu's contributions are shaping modern approaches to automated aerospace component manufacturing, offering practical pathways toward replacing labor-intensive manual finishing processes with reliable, high-accuracy robotic solutions.
Research Focus
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