Kuang-zheng Xue

Papers

Total Citations

H-Index

About

Kuang-zheng Xue is a leading researcher in brain-computer interfaces (BCI) and assistive robotics, with a focus on enhancing real-time, reliable control for brain-actuated systems. His most cited work, "A fuzzy-based shared controller for brain-actuated simulated robotic system" (2011), addresses the critical challenges of low channel capacity and high error rates in BCI by introducing an intelligent shared control framework. This approach integrates fuzzy logic to assist motion control, enabling robotic systems to better respond to environmental cues while compensating for the inherent limitations of neural signals. With 10 citations, this paper has influenced subsequent developments in shared autonomy for assistive technologies. Xue’s contributions are particularly notable for bridging the gap between raw brain signals and practical robotic applications, improving both safety and usability for users with motor impairments. His work exemplifies how adaptive control strategies can make brain-actuated devices more responsive and dependable, paving the way for real-world deployment in rehabilitation and daily assistance.