Xuan-Khoat Ngo
Papers
1
Total Citations
5
H-Index
1
About
Xuan-Khoat Ngo is a robotics researcher specializing in motion planning and intelligent control for robotic manipulators. His primary research areas include deep reinforcement learning, autonomous navigation, and real-time decision-making for complex robotic systems. Ngo’s most cited work, "Motion Navigation Algorithm Based on Deep Reinforcement Learning for Manipulators" (2023), addresses the challenging problem of enabling a 6-DOF robotic manipulator to navigate autonomously using reinforcement learning strategies. This contribution is significant for advancing adaptive, real-time control in unstructured environments. With 5 citations to date, his work is gaining traction among peers interested in integrating AI with robotics. Ngo’s research is particularly notable for its focus on practical implementation, bridging the gap between theoretical reinforcement learning algorithms and real-world robotic applications. His achievements highlight a promising trajectory in developing intelligent systems that can learn and adapt, making him a researcher to watch in the evolving field of robotic manipulation and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1