Yanjun Shen
Papers
9
Total Citations
433
H-Index
6
About
Yanjun Shen is a robotics and control systems researcher whose work spans wall-climbing robotics, neural network-based computational methods, surgical robotics, and nonlinear control theory. He first gained significant recognition through his pioneering contributions to wall-climbing robot design, with his 2006 paper proposing permanent magnetic track systems for oil tank inspection accumulating 140 citations and establishing him as a leading voice in adhesion mechanism engineering. Inspired by gecko locomotion, his complementary work on permanent magnetic system design further refined this field, earning an additional 69 citations. Shen's research expanded into intelligent computational methods, most notably his 2014 work on finite-time Zhang neural networks for solving time-varying quadratic programs applied to robot trajectory tracking, which garnered 128 citations and demonstrated the power of neural approaches for real-time robotic control. He has also explored teleoperated surgical robotics, including Internet-based neurosurgical drilling systems with sliding-mode control for managing network delays. More recently, his work addresses adaptive event-triggered control for switched nonlinear systems, reflecting a continued evolution toward sophisticated, resilient control architectures. Across his career, Shen's cumulative contributions reflect a researcher consistently bridging theoretical innovation with practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Permanent Magnetic System Design for the Wall‐Climbing Robot69 citations · 2006
- 4Permanent magnetic system design for the wall-climbing robot69 citations · 2006
- 5
- 6Using Tele-robotic Skull Drill for Neurosurgical Applications7 citations · 2006
- 7
- 8SLIDING-MODE CONTROL FOR TELE-ROBOTIC NEUROSURGICAL SYSTEM3 citations · 2007
- 9