Ying-Hao Yu

Papers

Total Citations

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About

Ying-Hao Yu is a researcher at the forefront of intelligent robotic systems, with a primary focus on construction automation, human-robot interaction, and real-time sensor-based control. His work bridges the gap between advanced sensing technologies and practical robotic guidance, particularly in dynamic construction environments where precision and adaptability are critical. Yu’s most cited paper, “Chip-Based Real-Time Gesture Tracking for Construction Robots Guidance” (2014), introduces a novel approach that enables mobile robots—such as those used for craning, conveying, excavating, and floor polishing—to interpret human gestures in real time, allowing for intuitive path rescheduling and autonomous navigation. This contribution addresses a key challenge in construction robotics: the need for flexible, on-the-fly control without complex programming. While his citation count is modest, Yu’s work is notable for its practical impact on field robotics, offering a cost-effective, chip-based solution that enhances robot responsiveness in unstructured environments. His research continues to influence the development of safer, more efficient human-robot collaboration in industrial settings.