Xuhui Huang

National University of Defense Technology, China Aerospace Science and Industry Corporation (China)

Papers

Total Citations

H-Index

About

Xuhui Huang is a researcher at the forefront of human-robot interaction and intelligent autonomous systems, with a focus on bridging computer vision, neural computation, and reinforcement learning. His work centers on two key areas: ego-centric hand gesture analysis for intuitive robot control, and bio-inspired navigation algorithms for unknown environments. In his influential 2016 paper, Huang developed a robust multi-stage hand gesture analysis pipeline using wearable ego-centric cameras, enabling natural, real-time human-robot communication—a foundational contribution to next-generation wearable interfaces. This work has garnered 9 citations and remains a reference point for gesture-based control systems. More recently, in 2025, Huang advanced the field of autonomous navigation by integrating spiking neural networks with reinforcement learning, employing an asymptotic gradient method to achieve accurate, generalized navigation in unfamiliar settings. This approach, inspired by animal neural representations and self-motion cues, has already attracted 4 citations and promises to enhance the adaptability of robots in real-world scenarios. Huang’s research exemplifies a commitment to merging biological principles with engineering innovation, offering practical solutions for safer, more intuitive human-robot collaboration and autonomous exploration.