Xiaogang Guo

First Affiliated Hospital Zhejiang University, Harbin Institute of Technology

Papers

Total Citations

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About

Xiaogang Guo is a researcher whose work spans robotics, computer vision, and microfluidic systems, with a career trajectory that reflects the evolving intersection of automation and intelligent sensing technologies. His early research focused on foundational challenges in autonomous mobile robotics, including vision-based object tracking and multi-robot formation localization. His 2007 work on monocular-vision feedback for mobile robot navigation and his 2006 study on global-camera-based localization for robot formations established him as a contributor to real-time robotic control systems, collectively garnering over a dozen citations. Guo's most impactful contribution to date is his 2021 paper on a microfluidic robot for rare cell sorting, which integrates machine vision identification with a sophisticated multi-step sorting strategy — a system with significant implications for biomedical diagnostics and precision medicine. This work has accumulated 24 citations, reflecting strong interest from both the microfluidics and biomedical engineering communities. Across his career, Guo demonstrates a distinctive ability to bridge mechanical automation with intelligent vision systems, applying these principles to domains ranging from autonomous navigation to life sciences innovation.