Youhui Chen

Chinese Academy of Sciences, Hunan University

Papers

Total Citations

240

H-Index

About

Youhui Chen is a pioneering researcher at the intersection of neuromorphic engineering and intelligent robotics, whose work bridges artificial intelligence with bio-inspired sensing systems. Her most impactful contribution is the development of the "Piezotronic Graphene Artificial Sensory Synapse" (2019), a landmark study with 216 citations that replicates the human somatosensory system by integrating mechanical perception with synaptic signal processing. This breakthrough offers a high-performance, simplified platform for next-generation tactile sensors and neuromorphic computing. Earlier in her career, Chen focused on intelligent control systems for specialized robotics, notably creating a neural network-based self-learning controller for power transmission line de-icing robots (2012) and a self-organizing CMAC control system for de-icing robot manipulators (2011). These works demonstrate her ability to solve complex, real-world engineering challenges through adaptive control algorithms. Chen’s research uniquely combines materials science, artificial neural networks, and robotics, positioning her as a key innovator in developing machines that can both sense and learn from their environment. Her work continues to inspire advances in soft robotics, human-machine interfaces, and autonomous systems.