Guilin University of Electronic Technology

🇨🇳 CN

Papers

150

Total Citations

1,687

H-Index

21

Researchers

297

About

Guilin University of Electronic Technology (GUET) has established itself as a dynamic research institution with a remarkably broad yet cohesive vision at the intersection of robotics, artificial intelligence, advanced manufacturing, and intelligent sensing systems. Situated in Guilin, China, GUET has cultivated a research culture that bridges fundamental engineering challenges with real-world applications, making it an increasingly attractive destination for prospective students and collaborative partners alike. GUET's robotics and AI contributions span an impressive range of domains. The institution has made notable strides in industrial robot reliability, exemplified by their highly cited CNN-LSTM-based fault detection framework for harmonic reducers, which addresses critical challenges in continuous manufacturing operations. Their work on adaptive fractional-order sliding mode control for omnidirectional mobile robot manipulators further demonstrates sophisticated theoretical grounding in control systems. In human-robot collaboration, GUET researchers have produced influential models for task scheduling that account for human fatigue, directly improving efficiency and worker wellbeing in smart manufacturing environments. The institution also distinguishes itself through pioneering work in neuromorphic and bio-inspired hardware, including ionotronic transistor arrays that emulate pain-perception networks — a frontier contribution bridging robotics and neuromorphic computing. Their GTac biomimetic tactile sensor and lightweight convolutional neural networks for robotic grasping further signal strength in embodied AI. Complementary advances in hydrogel strain sensors and stretchable electronics underscore GUET's investment in human-machine interfacing technologies. With papers accumulating hundreds of citations across IEEE Transactions, advanced materials journals, and manufacturing engineering venues, GUET's interdisciplinary research profile reflects both technical depth and growing global influence — offering collaborators a versatile, innovation-driven partner at the forefront of intelligent robotics and smart systems research.

Research Focus

Key Achievements

21
H-Index
150
Papers
1,687
Total Citations
297
Faculty & Researchers
🏆 Most Cited Paper
Fault Detection of the Harmonic Reducer Based on CNN-LSTM With a Novel Denoising Algorithm
127 citations · 2021
📊 Avg Citations/Paper: 11
📈 Most Prolific Year: 2024 (35)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Computer vision, Mathematics

Top Papers

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Faculty & Researchers

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