Phung Xuan Son
Papers
1
Total Citations
7
H-Index
1
About
Phung Xuan Son is a researcher specializing in robotics and autonomous navigation, with a particular focus on motion planning for mobile robots in unknown indoor environments. His most cited work, "Mapping and Path Planning for the Differential Drive Wheeled Mobile Robot in Unknown Indoor Environments Using the Rapidly Exploring Random Tree Method" (2022), has garnered 7 citations, demonstrating its relevance in the field of robotic path planning. Son’s key contributions lie in integrating the Rapidly Exploring Random Tree (RRT) algorithm with simultaneous localization and mapping (SLAM) techniques to enable differential drive robots to navigate complex, unstructured spaces without prior maps. This work addresses critical challenges in real-time obstacle avoidance and efficient trajectory generation, making it valuable for applications in service robotics, warehouse automation, and search-and-rescue operations. By advancing the practical deployment of RRT-based methods for wheeled robots, Son has provided a foundation for further research in adaptive navigation systems. His research continues to explore the intersection of sensor fusion, control theory, and artificial intelligence, aiming to enhance the autonomy and reliability of mobile robots in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1