Dinh-Khoi Nguyen
Papers
1
Total Citations
7
H-Index
1
About
Dinh-Khoi Nguyen is a robotics researcher specializing in autonomous navigation and motion planning for mobile robots in complex, unknown environments. His work focuses on developing efficient algorithms for mapping and path planning, particularly for differential drive wheeled mobile robots. Nguyen’s most-cited paper, “Mapping and Path Planning for the Differential Drive Wheeled Mobile Robot in Unknown Indoor Environments Using the Rapidly Exploring Random Tree Method” (2022, 7 citations), introduces a novel application of the RRT algorithm to enable real-time obstacle avoidance and adaptive route generation without prior environmental knowledge. This contribution addresses a critical challenge in robotics—safe navigation in unstructured indoor spaces—and has practical implications for service robots, warehouse automation, and search-and-rescue operations. By integrating mapping with probabilistic path planning, Nguyen’s work enhances the autonomy and reliability of wheeled robots, laying groundwork for more adaptive systems. His research is particularly relevant for students and engineers interested in mobile robotics, sensor fusion, and algorithm optimization. With growing recognition in the field, Nguyen continues to advance the frontier of intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1