Chien-Ting Su

Papers

Total Citations

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About

Chien-Ting Su is a robotics researcher whose work centers on the integration of computer vision and autonomous control systems, with a particular focus on two-wheel self-balancing robots. His most influential contribution, "Vision-Based Line-Following Control of a Two-Wheel Self-Balancing Robot" (2018), has garnered 17 citations for its innovative approach to combining visual feedback with dynamic stabilization. In this work, Su developed a system that uses an IP camera and MATLAB's image processing toolbox to enable a TWSB robot to autonomously follow a black line, establishing a framework of 10 coordinate points for precise path tracking. This research bridges the gap between classical control theory and modern computer vision, offering practical solutions for mobile robotics in industrial and educational settings. Su's work is notable for its emphasis on real-time image processing and low-cost hardware implementation, making advanced robotics more accessible. His contributions continue to influence researchers working on autonomous navigation, balance control, and vision-guided systems, demonstrating how visual feedback can enhance the capabilities of dynamically unstable platforms.