Ching Te Wang

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Ching Te Wang is a researcher in service robotics and intelligent automation, with a focus on path planning and image recognition techniques for autonomous systems. His most-cited work, "The Cleaning Machine Path Design Using Image Recognition Techniques" (2014), addresses a core challenge in service-oriented robotics: enabling autonomous cleaning machines to perform global path planning through integrated local and global positioning, route planning, and tracking. Wang’s contributions include advancing methods such as double round positioning, three-point positioning, and cross-ratio positioning, which enhance the efficiency and accuracy of robotic navigation. While his citation count remains modest—with this key paper garnering 2 citations—his work contributes to the foundational development of intelligent cleaning systems, a growing area in domestic and industrial automation. Wang’s research underscores the practical application of computer vision and robotics, offering insights into how image recognition can improve autonomous decision-making. His efforts support the broader goal of creating more adaptive and self-sufficient service robots, marking him as a contributor to the evolving landscape of smart automation technologies.