Chun Hsien Yeh

Papers

Total Citations

H-Index

About

Chun Hsien Yeh is a researcher whose work bridges robotics, construction automation, and human–machine interaction. His key research areas include real-time gesture tracking, sensor-guided mobile robots, and autonomous navigation systems for construction environments. Yeh’s major contribution lies in developing chip-based solutions that enable intuitive, non-contact control of construction robots, allowing operators to guide heavy machinery—such as cranes, excavators, and floor polishers—through hand gestures rather than traditional interfaces. This innovation enhances both safety and efficiency on dynamic job sites. His most-cited paper, “Chip-Based Real-Time Gesture Tracking for Construction Robots Guidance” (2014), has garnered 3 citations and laid foundational work for integrating low-cost, real-time sensing into robotic path planning. While his citation count is modest, Yeh’s research addresses a critical gap in human–robot collaboration within unstructured environments, offering practical pathways for more responsive and adaptable construction automation. His work is particularly notable for its emphasis on real-world applicability, making him a valuable contributor to the evolving field of intelligent construction robotics.