Guangdong University of Technology
🇨🇳 CN
Papers
746
Total Citations
18,346
H-Index
67
Researchers
1,019
About
Guangdong University of Technology (GDUT) has established itself as a dynamic research powerhouse at the intersection of robotics, intelligent control, and advanced manufacturing, with a portfolio that spans foundational theory to cutting-edge applications. Located in Guangzhou, China, GDUT has built a remarkable reputation for contributions that consistently attract global scholarly attention, with its most-cited works accumulating hundreds of citations across robotics, neural networks, and semiconductor manufacturing optimization. At the heart of GDUT's research identity is intelligent robot control. The university has produced landmark studies in model predictive control for mobile robots, adaptive neural network controllers for robotic manipulators handling dead-zone inputs and dynamic uncertainties, and adaptive fuzzy strategies for flexible-joint systems — collectively shaping how the global community approaches autonomous and precise robotic motion. Their work on physical human-robot interaction, including EMG-based impedance skill transfer and tremor-canceling microsurgery assistance, demonstrates a commitment to translating theory into life-improving applications. GDUT's expertise extends into semiconductor manufacturing scheduling, where their Petri net-based frameworks for cluster tool optimization have become definitive references for the field, cited extensively by researchers worldwide tackling complex wafer fabrication constraints. More recently, the university has embraced deep reinforcement learning for mobile robot navigation and adaptive dynamic programming for modular reconfigurable robots, signaling a forward-looking trajectory toward fully autonomous intelligent systems. Beyond robotics, GDUT's interdisciplinary reach is evident in pioneering work on MXene-based soft actuators and biomimetic artificial muscles, connecting robotics with advanced materials science. For prospective students and collaborators, GDUT offers a uniquely fertile environment where rigorous control theory, AI, and physical sciences converge to address some of the most pressing challenges in modern robotics and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Neural Information Processing695 citations · 2017
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- 3Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone374 citations · 2018
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Faculty & Researchers
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