Papers
10
Total Citations
86
H-Index
6
About
Nien-Tsu Hu is a leading researcher in intelligent robotics and autonomous systems, with a focus on sensor fusion, machine learning, and adaptive control for mobile and manipulator robots. Hu’s pioneering work on auto parking systems using ultrasonic sensors (26 citations) established a foundation for real-world autonomous vehicle applications, while their obstacle avoidance systems for wheeled mobile robots (16 citations) advanced safe navigation in dynamic environments. A key contribution is the development of a model reference adaptive control combined with a fuzzy neural network compensator for gantry robots (12 citations), significantly improving precision in industrial automation. Hu also made notable strides in robotic manipulation, designing an eye-in-hand gripping system that uses RGB-D images and machine learning to predict optimal grasp postures (9 citations), and an adaptive fuzzy CMAC controller for omni-directional mobile robots (8 citations). Their work on blind navigation robots (7 citations) demonstrates a commitment to assistive technology. With over 80 total citations across a decade of research, Hu’s innovations in sensor-based control, adaptive systems, and human-robot interaction continue to influence both academic research and practical robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Use of Ultrasonic Sensors to Enable Wheeled Mobile Robots to Avoid Obstacles16 citations · 2014
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- 5Adaptive Fuzzy CMAC Design for an Omni-directional Mobile Robot8 citations · 2014
- 6Intelligent wheeled mobile robots for blind navigation application7 citations · 2017
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- 8
- 9Application of a touch panel for control of a six-axis robotic arm2 citations · 2016
- 10Implementation of Auto Parking System Based on Ultrasonic Sensors2 citations · 2019