Papers
6
Total Citations
33
H-Index
3
About
Shuai Liang is a leading researcher in nano-robotics, specializing in the precise control of piezoelectric stick-slip (PSS) actuators for atomic force microscopy (AFM) and scanning electron microscopy (SEM) applications. His work addresses the critical challenge of achieving reliable, high-resolution manipulation at the micro and nano scales. Liang’s major contributions include developing velocity characterization and voltage/frequency rate-dependent models for PSS actuators, which are essential for trajectory tracking in nano-robotic systems. He has pioneered advanced control strategies, such as inverse hysteresis control and model predictive control with obstacle avoidance, to enhance the accuracy and autonomy of AFM probes operating inside SEMs. Notably, he has integrated deep learning-based vision for AFM tip localization and tracking, enabling automated nano-handling and assembly tasks. His multi-model design for robust hybrid control of nonlinear piezoelectric actuators further demonstrates his expertise in addressing system nonlinearities. With over 30 citations across his key publications, Liang’s work is foundational for advancing semi-automated and automated nano-robotic systems, bridging the gap between theoretical modeling and practical implementation in research and industry.
Research Focus
Key Achievements
Top Papers
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