Papers
2
Total Citations
175
H-Index
2
About
Xinlin Qing is a leading researcher in flexible sensor technology and intelligent robotics, whose work bridges advanced materials with autonomous systems. Her most influential contribution is the development of a flexible capacitive sensor using electrospun PVDF nanofiber membranes integrated with carbon nanotubes, a breakthrough published in 2019 that has garnered 147 citations. This innovation enables highly sensitive, durable pressure and strain sensing for applications in wearable electronics, soft robotics, and human-machine interfaces. In robotics, Qing introduced Stack-RRT*, a novel random tree expansion algorithm for smooth path planning (2023, 28 citations), addressing critical challenges in autonomous navigation by improving computational efficiency and trajectory quality. Her research has significant implications for next-generation prosthetics, smart textiles, and industrial automation. With a citation count reflecting growing recognition, Qing’s work exemplifies the convergence of materials science and robotics, offering practical solutions for real-world sensing and motion planning challenges. Her achievements position her as a rising authority in flexible electronics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stack-RRT*: A Random Tree Expansion Algorithm for Smooth Path Planning28 citations · 2023