Papers
8
Total Citations
146
H-Index
6
About
Shaobo Shen is a leading researcher in intelligent robotic systems, with a primary focus on teleoperation, cloud robotics, and networked control under time delays. His work addresses critical challenges in synchronizing master-slave robotic systems over unreliable networks, particularly the degradation caused by varying and long time delays. Shen’s major contributions include pioneering motion prediction and observer-based control frameworks that enable robust, finite-time synchronization and constraint enforcement in teleoperation and cloud robotic systems. His 2003 paper on networked intelligent robots, with 80 citations, laid foundational insights into internet-based robotic control, while his subsequent work on adaptive finite-time synchronization (21 citations) and motion prediction for nonlinear teleoperation (15 citations) has advanced practical applications in surgery, space exploration, and industrial automation. Shen has developed novel predictor-observer structures and command governors that ensure stability and tracking accuracy despite delayed measurements, achieving notable impact with over 140 total citations across his most-cited works. His research is essential for engineers and students developing resilient, high-performance robotic systems for remote and autonomous operations.
Research Focus
Key Achievements
Top Papers
- 1Networked intelligent robots through the internet: issues and opportunities80 citations · 2003
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