Xi'an University of Science and Technology
🇨🇳 CN
Papers
187
Total Citations
2,648
H-Index
23
Researchers
343
About
Xi'an University of Science and Technology (XUST) has established itself as a dynamic research hub where industrial robotics, intelligent sensing, and human-machine interaction converge with remarkable real-world impact. Located in Xi'an, China, the university has carved out a distinctive niche by addressing challenges at the intersection of robotics, advanced materials, and autonomous systems — with a particularly strong emphasis on applications in demanding environments such as underground coal mines. XUST's most celebrated contribution to the robotics community is its pioneering work on robust control for underwater robots, with a 2017 paper on Extended State Observer-Based Integral Sliding Mode Control accumulating over 550 citations — a testament to its foundational influence on autonomous underwater vehicle research worldwide. Complementing this, the university has built impressive expertise in brain-computer interfaces (BCI) and EEG-driven robot control, producing widely recognized surveys and methodological studies that have helped shape the field of neurotechnology-assisted robotics. A standout area of innovation is XUST's work in smart materials and flexible sensors, including liquid metal strain sensors, triboelectric nanogenerators, self-healing hydrogel electronics, and IPMC-driven soft robots. These contributions bridge soft robotics with wearable technology and bio-inspired design, reflecting a forward-looking research agenda. Arguably most distinctive is the university's sustained focus on coal mine robotics and intelligent mining systems, where researchers have advanced LiDAR-based SLAM, deep learning-powered point cloud segmentation, and coal-gangue sorting through computer vision — directly addressing the safety and automation needs of one of China's most critical industries. For prospective students and collaborators, XUST offers a rare combination of theoretical rigor, applied innovation, and socially impactful research in robotics, sensing, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6A survey on robots controlled by motor imagery brain-computer interfaces67 citations · 2021
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Faculty & Researchers
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