Dung Phan
Papers
2
Total Citations
30
H-Index
2
About
Dung Phan is a researcher whose work lies at the intersection of robotics, autonomous navigation, and intelligent control systems, with a particular focus on enabling safe mobility in uncertain environments. His primary contributions center on developing collision avoidance strategies for mobile robots operating under severe constraints—specifically, when they have limited sensing capabilities and incomplete information about moving obstacles and their surroundings. In his most cited work, "Collision avoidance for mobile robots with limited sensing and limited information about moving obstacles" (2017), Phan introduced novel algorithms that allow robots to navigate dynamically and avoid collisions even when they cannot fully perceive or predict the trajectories of nearby moving objects. This research is critical for real-world applications such as autonomous vehicles, warehouse robots, and service robots in crowded spaces. With over 30 combined citations across his key papers, Phan’s work has influenced subsequent studies in safe robot navigation and sensor-limited control. His achievements demonstrate a deep commitment to solving practical challenges in robotics, making his research essential reading for students and engineers working on autonomous systems in unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2