Duxin Liu

Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Beijing Jiaotong University

Papers

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About

Duxin Liu is a robotics researcher whose work centers on the design and intelligent control of lower limb exoskeletons, with a particular focus on rehabilitation and human-robot interaction. His key research areas include adaptive gait learning, human motion prediction, and non-binding exoskeleton systems. Liu’s most notable contribution is the development of an adaptive gait learning strategy for lower limb exoskeletons, which enables the system to quickly identify and extract individual gait characteristics, helping wearers find the most suitable walking pattern from a set of pre-existing gaits. This work, published in 2017, has garnered 8 citations. He also introduced a novel human motion prediction algorithm for the Non-binding Lower Extremity Exoskeleton (NBLEX), addressing safety concerns by eliminating the need for physical attachment between the pilot and the device. This 2015 paper has received 6 citations. Additionally, Liu has explored joint load adaptive servo control for rehabilitation exoskeletons, aimed at assisting spinal cord injury patients to walk independently. His recent work extends to soft robotics, including a curved loop strip soft gripper. Liu’s research is driven by a commitment to improving mobility and safety for individuals with physical impairments.