Papers

4

Total Citations

22

H-Index

3

About

Lan Anh Nguyen is a robotics and human-robot interaction researcher whose work spans autonomous mobile robot navigation, socially aware motion planning, and the psychological dimensions of human-robot relationships. Her foundational contributions lie in advancing robot localization accuracy through multiple sensor fusion methods, addressing a critical challenge in dynamic real-world environments where precise pose estimation underpins reliable autonomous navigation. Building on this technical expertise, Nguyen has made significant strides in socially aware robotics, developing the Social Timed Elastic Band (STEB) framework and time-dependent motion planning systems that enable mobile service robots to navigate human-populated spaces by incorporating socio-spatio-temporal characteristics of human behavior — work that has garnered over 20 citations collectively. More recently, her research has expanded into the emotional and empathetic dimensions of human-robot interaction, examining how robot backstories influence human empathy — a compelling bridge between engineering and social psychology. This trajectory reflects Nguyen's growing commitment to robots that are not only technically capable but also socially and emotionally resonant, making her a multidisciplinary voice in the future of intelligent, human-centered robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Improving the accuracy of the autonomous mobile robot localization systems based on the multiple sensor fusion methods
10 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Le Quy Don Technical University, University of Kaiserslautern

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago