Papers
2
Total Citations
32
H-Index
2
About
Xiaoyu Guo is a researcher whose work spans the critical intersection of secure control systems, state estimation, and medical robotics. With a focus on advancing both theoretical frameworks and practical applications, Guo has made notable contributions to the field of secure state estimation for nonlinear systems — a domain where most prior work had been confined to linear models. His 2022 paper addressing sparse injection attacks and disturbances in nonlinear systems, including robotic manipulators, represents a significant step forward in cyber-physical security research, earning 28 citations and establishing him as a contributor to resilient control theory. More recently, Guo has expanded his research into robotic-assisted surgery, tackling the challenging problem of haptic force feedback in minimally invasive surgical systems. His 2025 work on image-to-force estimation using structured light offers a promising sensor-free approach to measuring soft tissue interaction forces — a long-standing limitation in surgical robotics with direct implications for patient safety. Together, these contributions reflect a research vision that bridges robust estimation theory with real-world robotics, positioning Guo as an emerging voice in intelligent, safety-critical autonomous systems.
Research Focus
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Top Papers
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