Jingsheng Pan
Papers
1
Total Citations
1
H-Index
1
About
Jingsheng Pan is pioneering the advancement of robotic tactile perception through innovative sensor design. His key research focuses on soft tactile sensing, material science for robotics, and human-robot interaction. Pan’s most notable contribution is the development of a fingertip sensor featuring a magnet-prestressed Velostat structure, which addresses critical limitations in conventional conductive polymer sensors. By applying magnetic prestress to Velostat—a pressure-sensitive conductive material—his design significantly mitigates the inherent nonlinearity and hysteresis that have long plagued tactile sensors. This breakthrough enables more reliable and nuanced robotic exploration and perception, moving beyond single-mode tactile feedback toward richer, multimodal sensing capabilities. Although early in his career, with his seminal 2025 paper already garnering attention, Pan’s work promises to enhance how robots interpret physical contact, from texture discrimination to force regulation. His research stands at the intersection of materials engineering and embodied intelligence, offering a scalable path toward more dexterous and perceptive robotic hands. For students and researchers, Pan exemplifies how creative material manipulation can solve fundamental challenges in soft robotics and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1