University of Chinese Academy of Sciences
🇨🇳 CN
Papers
732
Total Citations
16,065
H-Index
62
Researchers
993
About
The University of Chinese Academy of Sciences (UCAS) stands as one of China's premier research institutions, distinguished by its remarkable breadth of scientific inquiry and its deep integration with the Chinese Academy of Sciences ecosystem. In robotics and AI, UCAS has carved out a reputation for pioneering work that bridges fundamental science with transformative applications, making it an increasingly compelling destination for researchers worldwide. At the core of UCAS's robotics research lies a powerful convergence of soft robotics, intelligent sensing, and human-robot interaction. The institution's work on convolutional hydrogels and flexible piezoresistive pressure sensors — garnering over 660 and 200 citations respectively — has helped redefine the landscape of bio-inspired and wearable robotics. Their development of graphene-based programmable soft robots and anti-freezing triboelectric nanogenerators demonstrates a rare capacity to translate materials innovation directly into functional robotic systems capable of operating under extreme conditions. UCAS researchers have also made substantial contributions to perception and autonomy. Their STGAT framework for human trajectory prediction, with over 630 citations, has become a widely referenced benchmark in autonomous vehicle and social robotics research. Complementary work on underwater visual enhancement using GANs and dual-hand detection networks for human-robot interaction further reflects the institution's commitment to real-world robotic deployment challenges. Beyond terrestrial systems, UCAS has established notable expertise in space robotics, with their comprehensive review of in-space assembly technologies accumulating over 200 citations and positioning the institution as a key voice in next-generation spacecraft development. With strong interdisciplinary ties spanning materials science, computer vision, and aerospace engineering, UCAS offers prospective students and collaborators an intellectually rich environment where foundational breakthroughs and applied robotics research advance together with exceptional momentum.
Research Focus
Key Achievements
Top Papers
- 1
- 2STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction634 citations · 2019
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- 4Review of in-space assembly technologies214 citations · 2020
- 5
- 6Recent progress in tactile sensors and their applications in intelligent systems199 citations · 2019
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- 10Biologically inspired jumping robots: A comprehensive review145 citations · 2019
Faculty & Researchers
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