Weipeng Dang
Papers
2
Total Citations
8
H-Index
2
About
Weipeng Dang is a researcher specializing in tactile sensing and soft robotics, with a focus on developing innovative, high-accuracy touch sensors. His work addresses a key challenge in the field: achieving precise contact localization and indentation depth prediction without relying on complex, matrix-based sensor arrays. In his 2017 paper, Dang introduced an optics-based tactile sensor that leverages overlapping signals to simplify design while maintaining performance, a concept he further explored in 2018 with planar sensors using resistive or optical transduction. These contributions offer a path toward more adaptable, less intricate tactile systems for applications in robotics and human-machine interaction. Though his most-cited papers each have 4 citations, they represent foundational steps in a niche area where simplicity and accuracy are critical. Dang’s research is notable for challenging conventional trade-offs in sensor design, making him a promising voice in the evolution of tactile sensing technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2