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About
Xijun Liu is a leading researcher in robotics and human–machine interaction, with a primary focus on assistive exoskeleton technologies and adaptive control systems. His most notable contribution is the development of an adaptive admittance control framework for joint-assisted exoskeleton robots in active spacesuits, addressing critical challenges in astronaut mobility and human–spacesuit interaction (HSI). By integrating adaptive Radial Basis Function (RBF) neural networks, Liu’s work enables exoskeletons to accurately interpret astronaut motion intentions while compensating for dynamic uncertainties in robotic systems—a breakthrough for next-generation space exploration gear. His 2025 paper on this topic has already garnered early citations, signaling its growing influence in the field. Liu’s research bridges the gap between human physiology and robotic assistance, with implications for rehabilitation, industrial exoskeletons, and aerospace applications. His innovative approach to modeling HSI dynamics and real-time control adaptation positions him as a key contributor to the future of wearable robotics and human-augmentation technologies.
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