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About

Jiufang Pei’s research lies at the intersection of adaptive control, robotic manipulation, and human-robot interaction, with a focus on enhancing the precision and robustness of complex mechanical systems. Her major contributions include pioneering a novel leakage-type adaptive mechanism for uncertain lower limb exoskeleton robots, which addresses fast time-varying uncertainties more effectively than traditional methods—a work that has garnered 8 citations since 2022. She has also advanced dexterous robotic hand control by optimizing force directional manipulability for improved grasping precision and energy efficiency, and developed iterative learning control strategies for mobile robot trajectory tracking under nonholonomic constraints. Her recent work on sliding mode control for tendon-driven robot fingers, integrating nonlinear disturbance observers to counteract complex nonlinearities, underscores her ongoing impact in anti-interference control. With a career spanning foundational studies in 2010 to cutting-edge research in 2025, Pei’s publications consistently push the boundaries of adaptive and robust control, offering practical solutions for exoskeletons, prosthetic hands, and autonomous robots. Her work is essential reading for researchers in rehabilitation robotics and dexterous manipulation.