Trong Hai Nguyen
Papers
3
Total Citations
10
H-Index
2
About
Trong Hai Nguyen is a robotics researcher whose work focuses on the intersection of computer vision, autonomous navigation, and bio-inspired locomotion. His primary contributions lie in developing practical systems for mobile robot localization and object manipulation in partially known environments, particularly for industrial picking applications. Nguyen’s most cited work, "Mobile Robot Localization and Path Planning in a Picking Robot System Using Kinect Camera in Partially Known Environment" (2016, 6 citations), demonstrates his ability to integrate low-cost depth sensors with advanced path planning algorithms to enable robots to navigate and operate effectively in real-world, cluttered settings. He further advanced this line of research with a method for localizing and grasping objects using the same Kinect-based approach (2021, 2 citations). Beyond wheeled platforms, Nguyen has explored legged locomotion, designing a hexapod robot controlled by a central pattern generator network for tripod gait (2016, 2 citations), showcasing his versatility in both wheeled and walking robotic systems. His work is particularly valuable for students and researchers interested in practical, sensor-driven robotics solutions that bridge the gap between laboratory research and industrial deployment.
Research Focus
Key Achievements
Top Papers
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