Tung‐Sheng Chiang

Chung Yuan Christian University, Ching Kuo Institute of Management and Health

Papers

Total Citations

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About

Tung-Sheng Chiang is a robotics and control systems researcher whose work focuses on intelligent automation for robotic manipulation and autonomous vehicle parking. His key research areas include fuzzy logic control, sliding mode control, and hybrid position/force control for flexible robotic systems. Chiang’s most notable contribution is his 2003 paper on parallel parking a car-like robot using fuzzy gain scheduling, which has garnered 20 citations. In this work, he developed a fuzzy sliding mode controller (FSMC) that embeds driving experience to locally track optimal parking paths, and then extended the controlled region through gain scheduling—a practical solution for autonomous parking in constrained environments. His 2004 study on hierarchical fuzzy hybrid position/force control for flexible link robot arms (6 citations) addresses the complex challenge of controlling robotic manipulators with structural flexibility during contact tasks, proposing a novel control architecture that balances position accuracy with force regulation. Chiang’s work bridges theoretical control design with real-world robotic applications, offering valuable insights for researchers in autonomous navigation and compliant manipulation. His contributions remain relevant for advancing intelligent robotic systems in dynamic, contact-rich environments.