Jutamanee Auysakul

Prince of Songkla University, Harbin Engineering University

Papers

4

Total Citations

34

H-Index

3

About

Dr. Jutamanee Auysakul is a researcher whose work bridges robotics, sensor systems, and advanced imaging technologies. Her primary research areas include soft robotics, real-time tracking systems, and computer vision for autonomous applications. A major contribution is her work on real-time indoor tracking using RSSI signals, where she demonstrated accurate localization of moving targets in hospital corridors with just two reference nodes—a practical solution for healthcare environments that has garnered 22 citations. In soft robotics, Dr. Auysakul addressed critical limitations in actuator design by developing an optimized soft bellow actuator using Box–Behnken response surface methodology, simplifying fabrication while improving grasping force. Her innovative work extends to automotive safety through composite 3D synthesis for around-view monitor systems, enhancing driver awareness by wrapping 2D images onto 3D surfaces. She has also contributed to distortion correction in fish-eye cameras, developing flexible unwrapping algorithms for hemispherical imagery. Dr. Auysakul’s research demonstrates a consistent focus on practical, real-world applications—from hospital navigation to robotic manipulation and vehicle safety—making her work valuable for engineers and researchers developing intelligent systems for complex environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
34
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Prince of Songkla University, Harbin Engineering University

Top Papers

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

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago