Papers
4
Total Citations
36
H-Index
3
About
Runmu Cheng is an emerging researcher specializing in advanced optical manufacturing, with a particular focus on magnetorheological finishing (MRF) and the integration of industrial robotics into precision polishing systems. His work addresses one of the field's most pressing challenges: overcoming the inherent trajectory inaccuracies of six-degree-of-freedom (6-DOF) industrial robots to achieve high-precision optical surface fabrication. Cheng's most impactful contribution, "High-precision magnetorheological finishing based on robot by measuring and compensating trajectory error" (2022, 23 citations), established a foundational framework for error measurement and compensation in robotic MRF systems, significantly advancing the viability of low-cost robots as alternatives to expensive dedicated polishing machines. His subsequent work has deepened this research thread, developing accurate predictive models for tool influence functions using neural networks and refining system calibration through laser tracker technology. Collectively, his publications reflect a systematic effort to make robot-based optical manufacturing both precise and practically deployable. With over 35 citations accumulated across a short publication window, Cheng's research is gaining meaningful traction within the optical engineering community, positioning him as a promising contributor to the future of intelligent, flexible precision manufacturing.
Research Focus
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Top Papers
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