Chi‐Chun Chen

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Chi-Chun Chen is a researcher at the forefront of intelligent automation and robotics, with key contributions spanning automated optical inspection (AOI), fault-tolerant systems, and assistive exoskeleton technology. His work integrates precision engineering with smart control to solve real-world manufacturing and rehabilitation challenges. Chen’s most cited paper, "Automatic Feeding System with High Accuracy Intelligent Product Defection Function" (2023, 3 citations), advances AOI by combining automation with intelligent defect detection, overcoming limitations of manual inspection. In "Fault-tolerant content list management for media servers in the smart robot domain" (2021, 3 citations), he proposed an innovative Content List Management Unit (CLMU) for real-time streaming in robotic claw machines, enhancing system reliability. His research on "Realisation of three‐dimensional geometric model in case of bike frame measurement" (2020, 2 citations) replaces manual measurement with a 3D modeling approach, reducing errors and time. Additionally, his "Development of Lower Limb Exoskeleton Robot" (2020, 2 citations) introduces a mass-adaptive control strategy that adjusts motor torque based on user-specific lower limb segments, aiming to achieve zero-moment assistance—a notable step toward personalized rehabilitation robotics. Chen’s work demonstrates a clear impact on industrial automation and human-robot interaction, with each paper addressing practical bottlenecks in measurement, fault tolerance, and adaptive control.