Papers

3

Total Citations

23

H-Index

3

About

T. T. Quyen Bui is a robotics researcher whose work focuses on autonomous navigation, sensor integration, and real-time control for mobile robotic systems. Her key research areas include sonar-based obstacle avoidance, visual tracking, and probabilistic pose estimation. Bui’s most notable contribution is a novel control law for an integrated mobile robot-pan tilt-camera system, enabling precise tracking of moving targets through a dual-loop kinematic and dynamic controller. This work, published in 2014, has garnered 7 citations and demonstrates her ability to bridge hardware and software for practical robotic applications. Her highest-cited paper (13 citations) introduces a region partition scheme for sonar-based obstacle avoidance, offering a computationally efficient method for safe navigation in cluttered environments. Additionally, her 2009 study on probabilistic motion models for robot pose estimation compares diverse odometry approaches, providing valuable insights for improving localization accuracy using inertial sensors. Though her citation counts are modest, Bui’s research contributes foundational methods for mobile robot autonomy, particularly in sensor fusion and control design. Her work is especially relevant for students and researchers exploring low-cost, real-time solutions for autonomous navigation and target tracking in robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
23
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Sonar-based obstacle avoidance using region partition scheme
13 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Pusan National University, Vietnam Academy of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago