National University of Defense Technology

🇨🇳 CN

Papers

946

Total Citations

18,428

H-Index

56

Researchers

1,355

About

The National University of Defense Technology (NUDT) stands as one of China's premier research institutions, distinguished by its extraordinary breadth of expertise spanning robotics, artificial intelligence, autonomous systems, and advanced materials. With deep roots in both theoretical innovation and applied engineering, NUDT has established itself as a globally recognized powerhouse in cutting-edge technology development, producing research that consistently reshapes the frontiers of modern science. NUDT's contributions to AI and robotics are both prolific and transformative. Its landmark survey on deep learning for 3D point clouds has amassed over 2,200 citations, becoming an essential reference for researchers worldwide working in autonomous driving, computer vision, and robotic perception. Complementing this, the institution's comprehensive survey on deep reinforcement learning has further cemented its role as an authoritative voice in AI methodology. In robotics perception and control, NUDT's pioneering work on uncalibrated visual servoing and adaptive eye-in-hand camera systems has laid foundational groundwork that continues to influence robot manipulation research nearly two decades later. Perhaps most dramatically, NUDT captured international attention with its development of a self-powered soft robot capable of operating in the Mariana Trench — one of Earth's most extreme environments — earning over 1,100 citations and demonstrating extraordinary interdisciplinary capability. The institution also excels in multi-robot coordination, LiDAR-based localization, brain-computer interface systems, and programmable mechanical metamaterials, reflecting a remarkably diverse yet cohesive research vision. For prospective students and collaborators, NUDT represents an unparalleled environment where foundational AI research intersects with real-world robotic systems, from deep-sea exploration to human-robot cooperation, offering unmatched opportunities to contribute to technologies that genuinely define the future.

Research Focus

Key Achievements

56
H-Index
946
Papers
18,428
Total Citations
1,355
Faculty & Researchers
🏆 Most Cited Paper
Deep Learning for 3D Point Clouds: A Survey
2,225 citations · 2020
📊 Avg Citations/Paper: 19
📈 Most Prolific Year: 2023 (88)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Computer vision, Engineering, Mathematics

Top Papers

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Faculty & Researchers

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