National Yunlin University of Science and Technology
🇹🇼 TW
Papers
205
Total Citations
4,022
H-Index
33
Researchers
171
About
National Yunlin University of Science and Technology (YunTech) has established itself as a dynamic research institution at the intersection of robotics, artificial intelligence, and human-computer interaction, with a notably broad and interdisciplinary portfolio that spans industrial automation, educational technology, and intelligent systems. Based in Taiwan, YunTech has cultivated a distinctive research identity by bridging foundational control theory with cutting-edge deep learning applications, making it an attractive destination for researchers and students seeking both theoretical rigor and real-world impact. The institution's most celebrated contributions include pioneering work in head pose estimation for industrial human-computer interaction, with the ARHPE framework accumulating over 280 citations, and innovative approaches to recycling waste classification using optimized convolutional neural networks — work that reflects YunTech's strong commitment to socially relevant AI applications. Researchers here have made significant strides in facial emotion recognition, real-time object detection, and fault diagnosis of industrial robots via IoRT platforms, demonstrating versatile expertise across the full spectrum of intelligent systems. YunTech's robotics heritage runs deep, with early influential work in fuzzy motion planning, autonomous mobile robot localization, and multi-sensor fire detection systems dating back to the early 2000s. More recently, faculty have advanced robust control methodologies, including terminal sliding mode controllers for robotic manipulators, earning widespread recognition in the control systems community. The institution also stands out for its humanistic perspective on robotics, producing impactful systematic reviews on companion robots for dementia care and robot-assisted language learning, positioning YunTech as a leader where engineering meets human welfare and education.
Research Focus
Key Achievements
Top Papers
- 1
- 2Recycling waste classification using optimized convolutional neural network268 citations · 2020
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- 6Deep learning networks for real-time regional domestic waste detection99 citations · 2022
- 7
- 8A new approach to the design of a fuzzy sliding mode controller82 citations · 2003
- 9
- 10Fuzzy Motion Planning of Mobile Robots in Unknown Environments79 citations · 2003
Faculty & Researchers
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