Papers
1
Total Citations
4
H-Index
1
About
Dr. Luu Quoc Dat is a robotics researcher whose work centers on intelligent autonomous navigation, sensor fusion, and mobile robot control in unstructured environments. His most cited paper, "Intelligent Autonomous Navigation System for the Wheeled Mobile Robot" (2011), presents a behavior-based control system designed to manage sensor uncertainties on a two-wheeled P3DX platform. By advancing and implementing methodologies from prior work, Dr. Dat contributes to making wheeled robots more reliable and adaptive in real-world settings—a critical step toward practical autonomous systems. Though his citation count is modest, his research addresses foundational challenges in robot navigation, including obstacle avoidance and path planning under noisy sensor conditions. Dr. Dat’s work is particularly valuable for students and engineers developing low-cost, robust mobile robots for industrial or service applications. His focus on bridging theoretical control strategies with physical robot implementation highlights a hands-on, problem-solving approach that inspires further innovation in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Autonomous Navigation System for the Wheeled Mobile Robot4 citations · 2011