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About

Wen-Tsai Sung is a multidisciplinary researcher whose work spans virtual reality applications in manufacturing, intelligent sensor systems, and advanced control engineering. Over two decades of scholarship, Sung has consistently explored how emerging technologies can transform industrial and manufacturing environments. His earliest influential contributions, dating to 2003, pioneered the integration of Virtual Reality Modelling Language (VRML) into web-based manufacturing simulation systems, laying groundwork for more reusable and accessible industrial visualization tools — work that has accumulated 24 citations and remains a reference point in the field. Sung subsequently expanded into Internet of Things (IoT) systems, developing an improved Particle Swarm Optimization (IPSO) algorithm combining non-linear weight strategies with ZigBee wireless sensor networks for environmental monitoring, earning 19 citations and demonstrating his aptitude for optimization-driven solutions. More recently, Sung has embraced cutting-edge directions in deep reinforcement learning, applying it to adaptive PID controller design for wheeled mobile robots — a practical innovation addressing the longstanding limitations of fixed-gain controllers. His work on integrating fieldbus protocols with robotic arms further reflects his commitment to intelligent manufacturing automation. Across his career, Sung's research represents a coherent vision: making industrial systems smarter, more adaptive, and more connected.