Papers
13
Total Citations
80
H-Index
5
About
Zushu Li is a pioneering researcher in intelligent control theory and robotics, with a career focused on emulating human motor intelligence to solve complex dynamic control problems. His most influential work centers on Human Simulated Intelligent Control (HSIC), a framework he developed to replicate human sensory-motor schemas for controlling unstable, nonlinear systems. Li’s landmark 2004 paper on a three-link gymnastic robot on a horizontal bar (21 citations) demonstrates his ability to model and control bio-inspired robotic motion, while his 2002 work on cart-pendulum swinging (12 citations) established the foundational validity of HSIC. He has further extended these ideas to biped and double pendulum robots, addressing challenging acrobatic maneuvers and multi-equilibrium-point control. With over 70 total citations across his top papers, Li’s contributions are notable for bridging cognitive science and control engineering. His work on schema theory and intelligent control has been particularly influential in autonomous robotics, offering a biologically plausible alternative to traditional model-based approaches. For students and researchers, Li’s research provides a compelling example of how insights from human cognition can inspire robust, adaptive control systems for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 4Schema theory and human simulated intelligent control6 citations · 2004
- 5Fuzzy Adaptive Algorithm for Biped Robot Inverse Kinematics5 citations · 2010
- 6Realization of point stabilization intelligence control for two-wheel robot5 citations · 2010
- 7Multi-mode control based on HSIC for double pendulum robot4 citations · 2015
- 8A Identification Method for Robotics Soccer4 citations · 2010
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