Cheng‐Chi Wang

National Chin-Yi University of Technology, Far East University

Papers

Total Citations

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About

Cheng‐Chi Wang is a leading researcher in robotics and precision control systems, with key contributions spanning tool center point calibration, self-balancing robots, active magnetic bearings, and nonlinear dynamics. His most cited work, “Automatic Calibration of Tool Center Point for Six Degree of Freedom Robot” (2023, 18 citations), revolutionizes industrial robotics by replacing manual, experience-dependent TCP calibration with a non-contact, automated method that dramatically improves accuracy and efficiency. Earlier, his “Robust Control Method Applied in Self-Balancing Two-Wheeled Robot” (2009, 13 citations) advanced dynamic analysis and balance control for pollution-free, agile mobile platforms. Wang also innovated in spindle technology with “Multi-hybrid Active Magnetic Bearing Design for Milling Spindle Applications” (2020, 9 citations), solving space constraints in fully magnetic-supported milling systems. His work on “Identification and Machine Learning Prediction of Nonlinear Behavior in a Robotic Arm System” (2021, 7 citations) integrates machine learning to model complex dynamics in robotic arms, enhancing predictive maintenance and control. With over 47 citations across his top papers, Wang’s research directly addresses real-world industrial challenges—improving precision, reducing downtime, and enabling smarter automation. His achievements demonstrate a rare ability to bridge theoretical dynamics with practical, deployable solutions, making him a vital figure in modern robotics and mechatronics.