Cheng‐Chih Lin

IntraMicron (United States), Michigan State University

Papers

Total Citations

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About

Cheng-Chih Lin is a researcher specializing in mobile robotics, with a particular focus on autonomous navigation, computer vision, and sensor integration. His most recognized contribution is a landmark-based navigation technique for mobile robots, in which a camera system interprets specially designed navigational landmark patterns composed of simple geometrical shapes to achieve accurate position estimation. Central to this work is the development of the Modified Elliptical Hough Transform (MEHT), an innovative image-processing algorithm designed to efficiently detect and match these geometric patterns in real-world environments. This foundational paper has accumulated nearly 50 citations across its documented versions, reflecting its enduring relevance to the robotics community. Building on this vision-based foundation, Lin extended his research into adaptive sensor integration, exploring how robots can dynamically adjust their sensor configurations in response to environmental complexity, robot speed, and surroundings that are only partially known or subject to change. This work demonstrates a broader ambition to create robots capable of robust, flexible autonomy across unpredictable real-world conditions. Together, Lin's contributions represent meaningful advances in bridging perception, localization, and adaptive control in mobile robotics research.