About

Youxian Sun’s research lies at the intersection of robotics, embedded control systems, and cybersecurity, with a focus on making autonomous systems both smarter and safer. A key contribution is the development of CORMAND2, a deception attack framework targeting industrial robots—work that exposes critical vulnerabilities in the Industrial Internet-of-Things (IIoT) and has already garnered 10 citations for its timely, empirical analysis. Sun also pioneered fuzzy feedback scheduling for resource-constrained embedded control systems, a technique that dynamically manages CPU and network resources to maintain control quality under unpredictable workloads. In multi-robot systems, Sun advanced distributed formation control using only low-cost pose estimation, enabling teams of robots to coordinate without expensive sensors. Their work on autonomous mobile sensor networks—optimizing sensing quality, coverage, and energy-efficient monitoring of stochastic events—has been cited across robotics and wireless sensor network communities. With over 30 total citations and a portfolio spanning from foundational control theory to applied cyber-physical security, Sun’s research is essential reading for engineers building resilient, autonomous systems in the age of IIoT.

Research Focus

Key Achievements

4
H-Index
7
Papers
43
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
CORMAND2: A Deception Attack Against Industrial Robots
10 citations · 2023
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Zhejiang University, State Key Laboratory of Industrial Control Technology, Zhejiang University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago