Shenghui Guo

Suzhou University of Science and Technology, Hebei University of Technology

Papers

Total Citations

H-Index

About

Shenghui Guo’s research focuses on the control and coordination of multi-agent systems, with a particular emphasis on observer-based consensus algorithms for discrete-time networks. In his most cited work, “Proportional Integral Observer-based Consensus Control of Discrete-time Multi-agent Systems” (2022, 15 citations), Guo developed a novel control framework that enhances the robustness and accuracy of distributed decision-making in multi-agent networks—a critical advancement for applications in robotics, autonomous vehicles, and sensor networks. Earlier, Guo contributed to human-robot interaction through his 2006 paper “Design of the Intelligent Control System of Telerobot Based on Virtual Reality” (4 citations), where he designed a semi-autonomous teleoperation platform with a layered intelligent control architecture. This system allowed operators and virtual environment-based decision systems to share control authority, improving the flexibility and safety of remote robotic operations. While Guo’s citation record reflects a developing career, his work bridges theoretical control theory with practical teleoperation challenges, offering foundational insights for researchers working on distributed coordination and human-robot collaboration. His contributions are particularly relevant for those exploring observer-based methods in networked control systems.