Zhejiang University of Science and Technology

🇨🇳 CN

Papers

163

Total Citations

4,004

H-Index

33

Researchers

313

About

Zhejiang University of Science and Technology (ZUST) has emerged as a dynamic research institution with remarkably broad expertise spanning robotics, artificial intelligence, autonomous systems, and advanced smart materials. The university's research portfolio reflects an impressive interdisciplinary vision, bridging cutting-edge computer vision with physical robotics and novel material science to address real-world engineering challenges. In robotics and AI, ZUST has made substantial contributions to autonomous systems, including pioneering work on intelligent unmanned vehicles, quadruped locomotion, and construction robotics. Their GMNet framework for RGB-thermal semantic segmentation has garnered over 318 citations, establishing the team as significant contributors to perception systems critical for autonomous driving and surveillance. Complementary work in infrared super-resolution, path planning algorithms, and egocentric action anticipation further cements their standing in embodied intelligence research. Equally impressive is ZUST's materials science dimension, which directly informs next-generation robotic platforms. Breakthroughs in highly stretchable carbon aerogels, shape memory polymers, magnetically actuated smart adhesives, and liquid crystal dielectric elastomers collectively address fundamental challenges in soft robotics actuation and wearable sensing. Their underwater soft robots review and autonomous aerial seed-carrier work demonstrate translational ambitions that extend from laboratory innovation to real-world deployment. The university's dual-mode capacitive sensors and flexible HMI technologies signal growing strength in human-machine interaction, while advances in single-cell proteomics illustrate multidisciplinary reach. With multiple highly cited publications and active research across autonomous systems, intelligent sensing, and bio-inspired materials, ZUST offers prospective students and collaborators an intellectually vibrant environment where engineering fundamentals meet frontier interdisciplinary innovation.

Research Focus

Key Achievements

33
H-Index
163
Papers
4,004
Total Citations
313
Faculty & Researchers
🏆 Most Cited Paper
GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
318 citations · 2021
📊 Avg Citations/Paper: 25
📈 Most Prolific Year: 2024 (32)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Materials science, Computer vision

Top Papers

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Faculty & Researchers

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