Zhenfeng Xie
Papers
1
Total Citations
4
H-Index
1
About
Zhenfeng Xie is a researcher in human–robot interaction and intelligent control systems, with a focus on sensor fusion and real-time adaptive interfaces. His most-cited work, "A human–robot interface using particle filter, Kalman filter, and over-damping method" (2016), introduces a novel hybrid filtering approach that integrates particle and Kalman filters with an over-damping technique to enhance the stability and accuracy of human–robot communication. This contribution addresses critical challenges in noisy, dynamic environments, offering a robust framework for gesture-based or motion-driven control. While his citation count remains modest, the work demonstrates foundational relevance for researchers developing seamless, responsive robotic systems. Xie’s research bridges theoretical filtering methods with practical interface design, contributing to safer and more intuitive human–robot collaboration. His work is particularly valuable for students and engineers exploring sensor data integration, noise reduction, and real-time control in robotics.
Research Focus
Key Achievements
Top Papers
- 1