Iman Yi Liao
Papers
1
Total Citations
2
H-Index
1
About
Dr. Iman Yi Liao is a researcher whose work bridges robotics, computer vision, and intelligent systems. Her most-cited contributions focus on the kinematic modeling and error analysis of synchronous drive robots (SDRs), which are increasingly deployed as service robots in dynamic environments. In her 2010 paper, she proposed a generic kinematic model for translational systematic errors in SDRs—a critical step toward improving odometry accuracy when external sensors are unreliable. This foundational work, though early in her career, addresses a key challenge in autonomous navigation: ensuring proprioceptive precision in changing surroundings. While her citation counts are still growing, her research has practical implications for service robotics, where reliable self-localization is essential. Dr. Liao’s work demonstrates a commitment to solving real-world engineering problems, and her model provides a valuable framework for future studies in robot calibration and error compensation. As the field of service robotics expands, her contributions to sensor accuracy and kinematic modeling will likely gain increasing recognition.
Research Focus
Key Achievements
Top Papers
- 1