Shuaipeng Ge

Shenzhen University, Chinese Academy of Sciences

Papers

Total Citations

236

H-Index

About

Shuaipeng Ge is a leading researcher in the field of bioinspired sensory systems, with a focus on tactile sensing and neuromorphic perception. His work addresses critical challenges in humanoid robotics and smart prosthetics by developing advanced sensor arrays that mimic human sensory capabilities. Ge's most cited paper (2022, 142 citations) introduces a bimodal tactile sensor that achieves interference-free reading of multiple tactile signals without complex signal fusion algorithms, a breakthrough for user-interactive applications. His subsequent work (2023, 94 citations) extends this concept by creating an artificial visual-tactile perception array that enhances memory and neuromorphic computations, drawing inspiration from human neuroplasticity. This research demonstrates how cross-modal sensory integration can enable more sophisticated human-machine interfaces. Ge's contributions are notable for their practical approach to solving fundamental challenges in multisensory perception, offering elegant solutions that avoid computationally expensive signal processing. His work has significant implications for the development of artificial skin and intelligent prosthetic systems that can process tactile and visual information simultaneously, paving the way for more natural and intuitive human-robot interactions.