I-Tung Kuo

Papers

Total Citations

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About

I-Tung Kuo is a robotics researcher specializing in intelligent control systems and assistive technologies for mobility. His work centers on developing fuzzy logic-based navigation algorithms that enable autonomous wheelchairs to operate safely in unknown environments. Kuo's most cited paper, "Fuzzy wall-following control of a wheelchair" (2017, 16 citations), introduces a novel approach that uses ultrasonic sensors to guide a wheelchair robot along walls while avoiding collisions with obstacles—a critical advancement for assistive robotics in cluttered indoor spaces. By modeling the control problem and the wheelchair's dynamics, Kuo demonstrates how fuzzy logic can effectively handle the uncertainty inherent in real-world navigation. His contributions bridge the gap between theoretical control systems and practical applications for individuals with mobility impairments. Though early in his citation impact, Kuo's work represents an important step toward more intelligent, context-aware assistive devices that can function autonomously without requiring pre-mapped environments. His research continues to influence the development of safe, human-centered robotic systems for healthcare and rehabilitation.