Phung Quang Anh
Papers
1
Total Citations
8
H-Index
1
About
Phung Quang Anh is a robotics researcher whose work bridges the gap between autonomous systems and human-assisted control, with a focus on mobile robot development and obstacle avoidance. His most-cited paper, "Design and Development of an Obstacle Avoidance Mobile-controlled Robot" (2019, 8 citations), addresses a critical need in semi-autonomous robotics by enabling human-assisted control mechanisms while maintaining robust obstacle detection and navigation capabilities. This contribution is particularly valuable for applications where full autonomy is not yet practical, such as in dynamic or unpredictable environments. Anh's research targets the intersection of control systems, sensor integration, and human-robot interaction, offering practical solutions for safer and more intuitive robot operation. His work has laid groundwork for further advancements in mobile robotics, demonstrating how semi-autonomous systems can enhance reliability and user trust. As a researcher, Anh contributes to the growing field of assistive robotics, where his findings support the development of robots that can operate effectively under human supervision—a key step toward broader real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Design and Development of an Obstacle Avoidance Mobile-controlled Robot8 citations · 2019