Nanjing University of Science and Technology
🇨🇳 CN
Papers
663
Total Citations
12,747
H-Index
53
Researchers
1,024
About
Nanjing University of Science and Technology (NUST) has established itself as a powerhouse of interdisciplinary research at the intersection of robotics, intelligent control, advanced materials, and autonomous systems. With a portfolio spanning foundational theory and cutting-edge applications, NUST consistently produces work that reshapes how engineers and scientists approach complex real-world challenges. At the core of NUST's robotics research is a deep commitment to robust and adaptive control systems. Landmark contributions include highly cited work on finite-time stabilization of stochastic nonlinear systems, adaptive terminal sliding mode control for robotic manipulators, and active disturbance rejection techniques — research that has collectively garnered hundreds of citations and influenced control engineers worldwide. The institution's expertise extends to rehabilitation exoskeletons, fault-tolerant robot tracking, and mechanism topology design, reflecting a comprehensive vision of robotics from theory to human-centered application. NUST researchers have also made significant strides in autonomous navigation and perception, with influential publications on deep reinforcement learning for dynamic path planning, improved dynamic window approaches for mobile robots, visual place recognition, and SLAM — together forming a robust intellectual foundation for next-generation autonomous systems. Their contributions to multi-agent consensus and distributed Nash equilibrium seeking further underscore strengths in networked and cooperative robotics. Beyond traditional robotics, NUST distinguishes itself through pioneering work in smart materials and soft robotics, including moisture-driven MXene actuators, self-healing composite networks, and magnetically actuated soft robots. Complementary research in optical manipulation with metamaterials and transparent nanocrystal electrodes highlights the institution's broader ambitions in intelligent devices and human-machine interfaces. For prospective students and collaborators, NUST offers a vibrant, multi-disciplinary environment where theoretical rigor meets bold applied innovation — making it an exceptional partner for advancing the frontiers of robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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- 4Visual place recognition: A survey from deep learning perspective250 citations · 2020
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- 6SLAM; definition and evolution200 citations · 2020
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- 8Optical manipulation with metamaterial structures179 citations · 2022
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Faculty & Researchers
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