Yanan Jiang

Papers

Total Citations

H-Index

About

Yanan Jiang is an emerging researcher working at the intersection of robotics, flexible electronics, and artificial intelligence. Their work focuses on the development of intelligent sensing systems for robotic manipulation, with a particular emphasis on flexible force sensors capable of detecting multi-directional forces in three-dimensional space. A central contribution of Jiang's research is the application of BP (backpropagation) neural networks to predict and simulate force information in flexible sensors, enabling robots to more accurately and reliably grasp objects — a fundamental challenge in robotic automation and human-robot interaction. Jiang's notable 2020 study introduced a PDMS-based flexible sensor system combined with machine learning to model complex force interactions during robotic gripping tasks, demonstrating a promising pathway toward smarter, more adaptive robotic hands. While still building a citation record, with 4 citations on this foundational work, Jiang represents an early-career researcher laying important groundwork in a rapidly growing field. Students interested in soft robotics, tactile sensing, or AI-driven control systems will find Jiang's interdisciplinary approach — bridging materials science, neural network modeling, and robotics — both innovative and highly relevant to future technological development.