Yen Hang Zhou
Papers
4
Total Citations
32
H-Index
3
About
Yen Hang Zhou is a leading researcher in robotic tactile perception, specializing in vision-based tactile sensors and their application to dexterous manipulation. Their work focuses on enhancing how robots sense and interpret contact information—such as shape, material, distributed force, and slip—to improve grasping and in-hand object control. Zhou’s major contributions include the development of a continuous marker pattern that significantly improves the representation and extraction of contact data in vision-based tactile sensors, a breakthrough cited 13 times. They also pioneered an incipient slip-based rotation measurement method for in-hand object pivoting, enabling real-time detection of rotational slippage to boost robotic hand stability and dexterity, with 8 citations. Additionally, Zhou optimized tactile sensor design through virtual binocular vision and introduced a high-resolution, reliable 3D deformation measurement technique. Their work has garnered over 30 citations across top venues, reflecting its impact on advancing tactile sensing for autonomous manipulation. Zhou’s innovative approaches are shaping the future of robotic touch, offering practical solutions for precise, adaptive grasping in real-world applications.
Research Focus
Key Achievements
Top Papers
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