Shiuh Jer Huang

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Shiuh Jer Huang is a researcher specializing in intelligent control systems and robotic automation, with a particular focus on developing advanced gripping and manipulation technologies. His work centers on bridging the gap between traditional robotic control methods and adaptive, intelligence-driven approaches capable of handling real-world uncertainty. Among his notable contributions, Huang has pioneered the design of intelligent robotic grippers that incorporate embedded distributed control structures, addressing a significant limitation in conventional pick-and-place robotics — the inability to safely handle fragile or soft objects. His 2013 research introduced model-free intelligent fuzzy sliding mode control strategies for managing both position and force in gripper systems, enabling robots to dynamically adapt to variations in object mass and material properties without requiring precise prior knowledge of the grasped item. While his citation counts remain modest — with his leading works garnering four and three citations respectively — his research tackles genuinely practical challenges in industrial and service robotics. By combining fuzzy logic with sliding mode control in a distributed embedded framework, Huang has contributed meaningful methodological advancements to the field of adaptive robotic manipulation, offering promising directions for researchers working on autonomous handling systems and human-robot collaborative environments.