Papers
4
Total Citations
73
H-Index
4
About
Dr. Yutian Liu is a pioneering researcher at the intersection of robotics, intelligent systems, and biomedical engineering. Her work spans three critical domains: surgical robotics, autonomous navigation, and fault diagnosis. Most notably, Dr. Liu developed ultra-sensitive ionic electronic skin for surgical robots (2022, 45 citations), creating a flexible capacitive sensor that enables real-time tactile feedback during delicate operations—a breakthrough addressing one of the field's greatest challenges. Earlier, she advanced autonomous navigation with an obstacle avoidance method that predicts dynamic obstacles' movement trends (2018, 18 citations), significantly improving robot safety in unpredictable environments. Dr. Liu also made foundational contributions to system reliability, introducing particle filter algorithms for hybrid system fault diagnosis (2008, 6 citations) and multi-CMAC neural networks for mobile robot fault detection (2007, 4 citations), handling system, sensor, and combined failures. Her work bridges theoretical innovation with practical medical and industrial applications, earning recognition for advancing both surgical precision and robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2Obstacle avoidance method based on the movement trend of dynamic obstacles18 citations · 2018
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