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About

Hongqian Lu is a robotics researcher whose work focuses on the control of complex, underactuated mechanical systems—particularly robotic fingers and antagonistic actuated robots. His major contributions lie in developing advanced control strategies for systems that are inherently difficult to stabilize due to high nonlinearity and underactuation. Lu pioneered the use of type-2 fuzzy logic control for underactuated truss-like robotic fingers (UTRF), demonstrating its superiority over type-1 approaches in handling system uncertainties. He also advanced the field by applying forwarding-based dynamic surface control and immersion and invariance theorem to antagonistic actuated robots, addressing challenges like solving partial differential equations in elastic torque control. Additionally, Lu introduced quasi-finite-time control using mapping filtered forwarding techniques, enabling faster convergence in antagonistic systems. His work on feedback control for underactuated trussed robot fingers, including dynamic modeling via Lagrange mechanics and analysis of non-integrity and stabilizability, has been foundational. With his most-cited paper (13 citations) and several others contributing to the understanding of underactuated robotics, Lu’s research offers practical solutions for designing more efficient and robust robotic manipulators.