Xiaowei Zheng

Xi'an Jiaotong University, Craft Group (China)

Papers

Total Citations

147

H-Index

About

Xiaowei Zheng is a pioneering researcher at the intersection of neural engineering and bionic robotics, whose work bridges brain-computer interfaces (BCIs) and intelligent exoskeleton design. Zheng’s most impactful contribution, with 122 citations, is a novel data augmentation framework for motor imagery (MI) signal classification using a hybrid neural network—a breakthrough that significantly enhances the reliability of spontaneous BCIs for neurological rehabilitation and robot control. In parallel, Zheng has advanced the mechanical foundations of wearable robotics, proposing a general arthropod joint model (2021, 18 citations) that replaces traditional monocentric bearings with bio-inspired, multi-link mechanisms for more natural human-robot motion. This work is complemented by the design of a rigid-compliant parallel exoskeleton knee joint (2017), which integrates large-displacement elastic joints to improve rehabilitation outcomes. Most recently, Zheng has tackled the critical challenge of chatter stability in robotic milling (2025), developing a frequency-domain decomposition method that explicitly models structural nonlinearity and feedrate dynamics. By unifying neural signal processing with biomechanical design, Zheng’s research directly impacts assistive technology and precision manufacturing, demonstrating a rare ability to translate complex biological principles into robust engineering solutions.