Shih-Yuan Wang

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Shih-Yuan Wang is a robotics and photonics researcher whose work bridges autonomous systems and advanced sensing technologies. His primary research areas include robotic path planning, autonomous coating systems, and photodetector design for LIDAR applications. Wang’s major contribution in robotics is the development of a constraint path planning algorithm for wall spray coating robots, where he employed breadth-first search (BFS) based on boustrophedon decomposition to generate Cartesian constraint paths for manipulators—a practical solution for automating interior wall finishing tasks. In photonics, Wang demonstrated a groundbreaking 500% improvement in quantum efficiency at 905nm wavelength by implementing photon-trapping surface nanostructures in PIN silicon photodetectors. This innovation enables high-resolution, low-cost short-range LIDAR systems critical for data-driven applications like robotics and autonomous navigation. His most cited works have accumulated 6 and 4 citations respectively, reflecting growing interest in his dual expertise. Wang’s notable achievement lies in integrating hardware-level photodetector enhancements with software-level robotic control, offering a holistic approach to autonomous system development. His work continues to influence both industrial automation and sensor technology, making him a versatile contributor to modern robotics and optoelectronics.