Peiqin Guo

Papers

Total Citations

H-Index

About

Peiqin Guo is a researcher specializing in teleoperation robotics and intelligent control systems, with a particular focus on overcoming challenges posed by networked communication delays. Their most cited work, "Network Teleoperation Robot System Control Based on Fuzzy Sliding Mode" (2016, 12 citations), addresses a critical issue in remote robot operation: the stochastic time delays inherent in network connections that can degrade system performance or cause instability. Guo proposed an innovative control method combining fuzzy logic with sliding mode control, effectively compensating for these delays and enhancing system robustness. This contribution is significant for applications in hazardous environments, telesurgery, and remote industrial operations where reliable real-time control is essential. While their citation count reflects focused impact in a specialized field, Guo's work demonstrates a practical engineering approach to a persistent problem in networked robotics. Their research bridges theoretical control design with real-world implementation, offering a foundation for further advancements in teleoperation systems where communication constraints are unavoidable.