Papers
2
Total Citations
14
H-Index
2
About
Guanglei Lu is a robotics researcher whose work focuses on the dynamic modelling, structural design, and stable-balancing control of wire-moving robots—mechanical systems inspired by tightrope walkers. His key research areas include nonlinear dynamics, underactuated system control, and bio-inspired robotics. Lu’s major contributions lie in developing mathematical models and control strategies for these inherently unstable systems. In his most-cited work, "Dynamic modelling and simulation of wire-walking robot based on the control of balancing pole" (2012, 8 citations), he employed the Lagrange method to build a dynamic model and designed a controller using partial feedback linearization, using the balancing pole’s torque as the system input to maintain self-balance. His follow-up paper, "Structure Design and Stable-balancing Control of a Kind of Wire-moving Robot" (2014, 6 citations), further explored the internal mechanics of how these robots mimic human tightrope walkers by rolling a pole to maintain equilibrium. Though his citation counts are modest, Lu’s work provides foundational insights into the control of high-degree-of-freedom, unstable mechanical systems, offering valuable principles for researchers in legged locomotion and balancing robotics.
Research Focus
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