Zhudong Huang

Tsinghua University, Wuhan University of Science and Technology

Papers

Total Citations

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About

Zhudong Huang is a robotics researcher whose work focuses on the intersection of tactile sensing, dexterous manipulation, and stable grasping—critical areas for advancing autonomous robotic interaction with the physical world. Huang’s major contributions include developing a novel slip detection method that combines unsupervised and supervised learning, using window matching pursuit for feature extraction, which directly enhances the stability and reliability of robotic grasping. This work, cited 9 times, serves as a foundational approach for improving robot operation levels in real-world tasks. Additionally, Huang designed a wearable tactile sensor array with conductive thread electrodes arranged in a ring structure for fingertip motion recognition, enabling more intuitive and precise control of robotic hands. Complementing these sensing advances, Huang also engineered an underactuated dexterous hand that addresses the persistent challenge of achieving complete geometric and force closure during manipulation. By integrating innovative sensor design with mechanical intelligence, Huang’s research provides a cohesive framework for more anthropomorphic and stable robotic grasping, making significant strides toward practical, human-like robotic dexterity.