Papers
3
Total Citations
12
H-Index
3
About
Khoa D. Nguyen is a robotics researcher specializing in autonomous navigation, computer vision, and real-time control systems. His work focuses on enabling mobile robots to perceive and navigate complex environments safely, with key contributions in drivable area segmentation and obstacle detection. Nguyen's 2022 paper on free-driving region detection using RGB-D data and uncertainty estimation (6 citations) addresses the critical challenge of accurate road segmentation for autonomous robots, leveraging deep learning to improve navigation safety in both indoor and outdoor settings. He further advances this field with his 2024 work on road anomaly detection, introducing a DifferNet-based automatic labeling segmentation method that reduces the need for large, manually annotated datasets—a significant practical contribution. Additionally, Nguyen has developed real-time control methods for 6-DOF robots using eye-in-hand cameras and visual servoing (3 citations), demonstrating his expertise in integrating perception with robotic manipulation. His research bridges the gap between theoretical deep learning models and practical robotic applications, making autonomous systems more reliable and adaptable to unknown environments.
Research Focus
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