Xi Duan

Papers

Total Citations

H-Index

About

Xi Duan is a leading researcher at the intersection of soft robotics, intelligent materials, and human–machine interaction, with a particular focus on replicating the human sense of touch through artificial skin. His most cited work, “Artificial skin through super-sensing method and electrical impedance data from conductive fabric with aid of deep learning” (2019, 63 citations), introduces a groundbreaking approach that combines piezo-resistive fabric with deep learning to create pressure-mapping sensors. This innovation enables robots to perceive tactile information with unprecedented accuracy, a critical step toward more natural social interactions between humans and machines. Duan’s contributions bridge material science and artificial intelligence, demonstrating how conductive textiles can be transformed into “super-sensing” platforms that mimic biological touch. His research has significant implications for prosthetics, wearable electronics, and collaborative robotics, where safe and responsive physical contact is essential. By integrating electrical impedance tomography with neural network processing, Duan has opened new pathways for scalable, flexible, and cost-effective tactile sensing systems. His work continues to inspire advances in embodied intelligence, making him a key figure in the development of truly interactive robotic systems.