Minghao Cheng
Papers
4
Total Citations
299
H-Index
4
About
Minghao Cheng is a leading researcher at the intersection of intelligent manufacturing, robotics, and control systems, with a primary focus on advancing visual servoing technologies for Industry 5.0. His most influential work, "Vision-Motion Codesign for Low-Level Trajectory Generation in Visual Servoing Systems" (217 citations), introduces a groundbreaking codesign methodology that integrates vision algorithms with motion control to overcome limitations in high-speed, high-precision industrial applications. Cheng’s contributions extend to sustainable manufacturing, where he has developed fuzzy control frameworks for image-based visual servoing under velocity and field-of-view constraints (17 citations), and pioneered the use of digital twins combined with extreme learning machines and differential evolution for enhanced robotic assembly (15 citations). His comprehensive review of intelligent manufacturing from the Industry 5.0 perspective (50 citations) critically examines human-centric, resilient, and sustainable production paradigms, establishing him as a key voice in the transition beyond Industry 4.0. With over 300 total citations, Cheng’s work is instrumental in bridging theoretical control design with practical, high-performance manufacturing systems, making him a vital resource for students and researchers exploring next-generation automation and smart factory solutions.
Research Focus
Key Achievements
Top Papers
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