Shih Sung Cheng

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Shih Sung Cheng is a researcher in robotics and automation, with a focus on service-oriented robotic systems and intelligent path planning. His work centers on the development of autonomous cleaning machines, where he has made notable contributions to global path planning and route optimization using image recognition techniques. In his most-cited paper, "The Cleaning Machine Path Design Using Image Recognition Techniques" (2014), Cheng addresses core challenges in service robotics, including local and global positioning, route planning, and tracking. He explores methods such as double round positioning, three-point positioning, and cross-ratio positioning to enhance the autonomy and efficiency of cleaning robots. While his citation count remains modest at 2, his research contributes to the foundational technologies that enable robots to navigate and operate intelligently in real-world environments. Cheng’s work is particularly relevant for students and researchers interested in the intersection of computer vision, robotics, and automation, offering practical insights into the design of autonomous service systems.