Kun Xiong

About

Kun Xiong is a leading researcher in flexible electronics and self-powered sensing systems, with a primary focus on triboelectric nanogenerators (TENGs) for human-robot interaction and wearable technology. His most cited work, "Stretchable Self-Powered TENG Sensor Array for Human-Robot Interaction Based on Conductive Ionic Gels and LSTM Neural Network" (2024, 60 citations), introduces a groundbreaking approach to creating stretchable, self-powered sensors that integrate conductive ionic gels with deep learning for real-time motion monitoring. This innovation addresses critical challenges in the Internet of Things (IoT) and human-robot interaction (HRI) by enabling flexible, energy-autonomous devices that can accurately interpret complex human gestures. Xiong’s contributions bridge materials science, neural networks, and robotics, offering scalable solutions for next-generation wearable electronics. His work has garnered significant attention for its potential to revolutionize prosthetics, soft robotics, and smart healthcare systems. By combining advanced materials with machine learning, Xiong continues to push the boundaries of self-powered sensing, making him a pivotal figure in the field of stretchable electronics and human-machine interfaces.

Research Focus

Key Achievements

Top Papers

1. 1
   Stretchable Self-Powered TENG Sensor Array for Human-Robot Interaction Based on Conductive Ionic Gels and LSTM Neural Network

   60 citations · 2024

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