Papers
13
Total Citations
183
H-Index
7
About
Xuzhi Lai is a robotics and control systems researcher whose work spans underactuated mechanical systems, soft robotics, and intelligent control. He is perhaps best known for his foundational contributions to the control of underactuated gymnast robots — simplified models of human gymnasts on a high bar — where his innovative space-partitioning strategies for swing-up and balancing control have garnered significant academic attention, with his 2011 paper alone accumulating 40 citations. His 2013 work further advanced the field by introducing virtual coupling techniques to avoid problematic singularities during swing-up maneuvers, while his 2015 study refined stabilization through trajectory tracking approaches. Beyond underactuated systems, Lai has broadened his research portfolio into soft robotics, developing novel pneumatic bellow actuators and robust modeling frameworks for pneumatic soft actuators, reflecting the field's growing interest in compliant, bio-inspired machines. His 2020 foray into human-robot interaction, proposing a CNN-based broad learning model for facial emotion recognition, demonstrates a versatile research vision that bridges mechanical control and artificial intelligence. With nearly 160 cumulative citations across a decade of sustained output, Lai's work offers valuable tools for researchers tackling nonlinear control, intelligent optimization, and next-generation robotic systems.
Research Focus
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