Papers
1
Total Citations
3
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About
Dr. Van Vo is a robotics researcher whose work focuses on autonomous navigation and real-time control for mobile robots operating in dynamic, unstructured environments. His most-cited paper, “A Model Predictive Control for Dynamic Obstacle Avoidance of a Mobile Robot Based on ROS” (2024, 3 citations), introduces a novel Model Predictive Control (MPC) framework that enables wheeled mobile robots to safely and efficiently avoid moving obstacles in indoor settings. By implementing this system on the Robot Operating System (ROS) platform and validating it in Gazebo simulations, Dr. Vo addresses a critical challenge in practical robotics: the gap between theoretical control algorithms and real-world deployment. His contributions are particularly valuable for applications in warehouse logistics, service robotics, and autonomous exploration, where robots must react to unpredictable human and object movements. Though early in his career, Dr. Vo’s work demonstrates a strong commitment to bridging simulation and reality—a key step toward reliable, autonomous systems. His research continues to push the boundaries of predictive control for safer, more adaptive robots.
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Top Papers
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