Papers
12
Total Citations
87
H-Index
5
About
Wenbiao Wang is a robotics and intelligent systems researcher whose work spans two interconnected domains: soft robotics and robot calibration. His earlier contributions, dating to 2009–2010, focused on precision robot calibration using line-structured-light vision sensors, developing novel algorithms and calibration schemes that improved the accuracy of robot-based 3D measurement systems. These foundational works laid the groundwork for his broader interest in intelligent, adaptive robotic systems. In recent years, Wang has emerged as a notable contributor to soft robotics, addressing critical challenges in material durability, actuation, and sensing. His 2023 paper on self-healable, recyclable, and degradable soft network materials (18 citations) represents a significant advance in sustainable soft robotic design. Complementing this, his ultralong stretchable soft actuator (US²A) research introduced a versatile new actuation paradigm, while his sensor-embedded soft fingertip work (15 citations) demonstrated meaningful progress in tactile sensing for precise manipulation and softness recognition. He has also contributed to smart manufacturing, with research on intelligent factory design for Chinese shipyards attracting considerable attention. Across his portfolio, Wang's research reflects a consistent commitment to making robotic systems more adaptable, precise, and environmentally responsible.
Research Focus
Key Achievements
Top Papers
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- 4Ultralong Stretchable Soft Actuator (US2A): Design, Modeling and Application13 citations · 2023
- 5Robot calibration by observing a virtual fixed point9 citations · 2009
- 6Calibration of a robot-based measuring system5 citations · 2009
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- 9Calibration for robot-based measuring system2 citations · 2010
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