Yao Jiang
Papers
21
Total Citations
252
H-Index
9
About
Yao Jiang is a robotics researcher whose work spans tactile sensing, robotic grasping, and precision manipulation — areas central to advancing intelligent robotic systems. He is perhaps best known for his pioneering contributions to vision-based tactile sensing, particularly in the detection of incipient slip, the subtle precursor to grasp failure that has long challenged stable robotic manipulation. His 2021 paper on incipient slip detection using distributed force and deformation has garnered 48 citations, establishing him as a leading voice in this niche yet critical field. Jiang has further advanced the area through continuous marker pattern methodologies, improving how contact information is represented and extracted in tactile sensors — work reflected across multiple well-cited publications. Beyond tactile sensing, he has made meaningful contributions to large-workspace mobile robot manipulation, image-based visual servoing for assembly tasks, and precision pick-and-place systems, demonstrating a broad command of robotic engineering challenges. With a growing body of work accumulating over 190 citations, Jiang's research consistently bridges fundamental sensor design with practical robotic control, making his publications highly relevant for students and researchers working at the intersection of perception, manipulation, and intelligent automation.
Research Focus
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Top Papers
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