Teng-Shung Chiang

Chien Hsin University of Science and Technology

Papers

Total Citations

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About

Teng-Shung Chiang is a researcher whose work centers on intelligent control systems and autonomous mobile robotics, with a particular focus on fuzzy logic applications for navigation and obstacle avoidance. His most-cited paper, "Fuzzy obstacle avoidance control of a two-wheeled mobile robot" (2015, 7 citations), introduces a novel fuzzy control approach that enables a two-wheeled mobile robot to navigate toward a target while dynamically avoiding obstacles using sensor-based environmental detection. This contribution addresses a fundamental challenge in robotics—safe autonomous navigation—by offering an effective, computationally efficient solution that does not rely on complex environmental models. Chiang’s research bridges theoretical control methods and practical robotic implementation, demonstrating how fuzzy logic can enhance real-time decision-making in uncertain environments. While his citation count reflects a focused, emerging impact, his work contributes to the broader fields of mobile robotics, intelligent control, and human-robot interaction, providing a foundation for further advances in autonomous navigation systems.