Papers
15
Total Citations
188
H-Index
6
About
Dr. Ngoc-Tam Bui is a leading researcher at the intersection of autonomous mobile robotics, computer vision, and rehabilitation engineering. His work addresses fundamental challenges in robot navigation and human-robot interaction, with a particular focus on enabling robots to perceive and move safely through complex environments. His most impactful contribution, a multi-scale fully convolutional network for semantic segmentation in mobile robot navigation, has garnered 63 citations and demonstrates his expertise in applying deep learning to real-world robotic perception. Dr. Bui has also made significant advances in obstacle avoidance using monocular cameras (38 citations) and in the control of pneumatic artificial muscles for rehabilitation exoskeletons, where his adaptive fuzzy sliding mode control approach (26 citations) addresses critical nonlinearity and delay issues. His work extends to solving inverse kinematics for rehabilitation robotics and developing novel optimization algorithms for robotic manipulators. With a portfolio spanning from wall-climbing cleaning robots to cable-driven parallel robots, Dr. Bui’s research consistently bridges theoretical control methods with practical robotic applications, making him a notable contributor to both industrial and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Obstacle Avoidance Strategy for Mobile Robot Based on Monocular Camera38 citations · 2023
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- 6A Study of Wall-Climbing Robot for Cleaning Silo Using Vacuum Principle8 citations · 2021
- 7Global ray-casting range image registration6 citations · 2017
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