Ngo Thien Thu
Papers
1
Total Citations
9
H-Index
1
About
Dr. Ngo Thien Thu is a leading researcher in robotics and intelligent navigation systems, with a primary focus on cloud-based indoor positioning and autonomous robot guidance. Her most-cited work, "The Practice of Cloud-based Navigation System for Indoor Robot" (2020, 9 citations), addresses the critical challenge of reliable indoor localization for service robots, particularly in applications such as assisting visually impaired individuals and tracking patients in healthcare settings. Dr. Thu's contributions lie in integrating cloud computing with real-time sensor data to enhance the accuracy and scalability of indoor robot navigation, bridging the gap between theoretical positioning algorithms and practical deployment. Her research has significant implications for assistive technology and smart healthcare environments, where precise indoor guidance is essential. Beyond this flagship paper, Dr. Thu continues to explore the intersection of robotics, cloud systems, and human-centric design, making her work highly relevant for students and researchers interested in practical, application-driven robotics solutions. Her efforts are helping to shape the next generation of autonomous indoor navigation systems that are both robust and accessible.
Research Focus
Key Achievements
Top Papers
- 1The Practice of Cloud-based Navigation System for Indoor Robot9 citations · 2020