Papers
12
Total Citations
489
H-Index
9
About
Huanbo Sun is a pioneering researcher at the intersection of robotic tactile sensing, haptics, and machine learning, dedicated to developing the next generation of touch sensors for autonomous robots. His work addresses a fundamental challenge in robotics: giving machines a sense of touch sophisticated enough for real-world manipulation and human interaction. Sun's most celebrated contribution is the thumb-sized vision-based tactile sensor capable of accurate all-round force perception, which has garnered over 241 citations and represents a landmark advance in making high-resolution robotic touch both practical and affordable. He has further shaped the field through his "taxel value isoline" theory, providing a rigorous design framework for superresolution tactile skins, and through the development of Minsight, a fingertip-sized sensor enabling dexterous robotic manipulation. His parallel work on electrical resistance tomography (ERT)-based sensors — combining multiphysics modeling, deep learning, and sim-to-real transfer — demonstrates his versatility across sensing technologies. Spanning hardware design, computational modeling, and data-driven calibration, Sun's research has consistently lowered the barriers to deploying robust tactile sensing at scale. With nearly 500 total citations accumulated across just a handful of years, his contributions are rapidly becoming foundational references for researchers and engineers advancing intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A soft thumb-sized vision-based sensor with accurate all-round force perception241 citations · 2022
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- 8Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns10 citations · 2018
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