Manh Tien Dinh
Papers
1
Total Citations
2
H-Index
1
About
Manh Tien Dinh is a robotics researcher focused on advancing autonomous navigation and human-robot interaction. His primary research areas include indoor mobile robot navigation, proxemics—the study of spatial relationships in human-robot interaction—and the Robot Operating System (ROS). Dinh’s most notable contribution is his work on integrating proxemic principles into navigation algorithms, enabling robots to move more naturally and safely in human environments. His paper, "Investigation of Indoor Navigation Based on Proxemics for Mobile Robot Using the Robot Operating System (ROS)" (2024), has garnered early attention with 2 citations, signaling growing interest in his approach. This work demonstrates how ROS can be leveraged to implement socially aware navigation, a critical step toward deploying robots in crowded indoor spaces like hospitals or offices. Dinh’s research addresses a key challenge in robotics: balancing efficient path planning with human comfort. By combining theoretical insights from proxemics with practical ROS-based implementations, he is helping to bridge the gap between laboratory prototypes and real-world applications. His contributions are particularly relevant for students and researchers exploring human-centered robotics, offering a foundation for future studies in socially compliant navigation systems.
Research Focus
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Top Papers
- 1