Chia-Hung Lo

Papers

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About

Chia-Hung Lo is a robotics researcher whose work focuses on the intersection of embedded control systems and machine vision for autonomous robotic applications. His primary research areas include servo motor control, robotic manipulator design, and monocular vision systems for object recognition. Lo’s most influential contribution is his 2012 paper on servo motor controller design for robotic manipulators, which has garnered 20 citations. In this work, he developed a three-module SOPC-based controller for EX-106 servo motors, enabling precise gripping movements—a foundational advancement for industrial and service robotics. His 2012 study on circle object recognition using monocular vision (6 citations) further demonstrates his impact in home security robotics, where he created a rapid image-processing method for colored ball detection, integrating object segmentation and circle recognition algorithms. Additionally, his design of a wheeled robot motor controller (2 citations) introduced a hardware PI controller circuit module on an FPGA chip for efficient DC motor speed control. Lo’s work is notable for its practical, hardware-implemented solutions that bridge theoretical control algorithms with real-world robotic systems, making his research valuable for students and engineers developing cost-effective, vision-guided autonomous robots.