Mi Mi Myint Pyu
Papers
1
Total Citations
8
H-Index
1
About
Dr. Mi Mi Myint Pyu is a robotics and artificial intelligence researcher whose work focuses on intelligent human-robot interaction systems. Her key research areas include deep learning, fuzzy control systems, and autonomous mobile robotics. Her most notable contribution is the development of a Deep Neural Network Based Human Following Robot with Fuzzy Control (2019), which has garnered 8 citations. This innovative system integrates deep neural networks for human detection with fuzzy logic controllers to maintain optimal tracking—keeping the target person centered in the robot's field of view while dynamically adjusting velocity. The work addresses critical challenges in assistive robotics, particularly for applications in healthcare, logistics, and personal assistance. By combining the pattern recognition strengths of deep learning with the adaptive decision-making of fuzzy control, Dr. Pyu's research demonstrates a practical approach to creating more responsive and reliable autonomous systems that can safely follow human operators in real-world environments. Her contributions represent an important step toward developing socially aware robots capable of seamless collaboration with humans.
Research Focus
Key Achievements
Top Papers
- 1A Deep Neural Network Based Human Following Robot with Fuzzy Control8 citations · 2019