Yaping Dai
Papers
16
Total Citations
190
H-Index
7
About
Yaping Dai is a leading researcher at the intersection of computer vision, robotics, and intelligent control systems. Her work spans three key domains: facial expression recognition, autonomous path planning, and rehabilitation robotics. In computer vision, Dai has pioneered hybrid approaches for facial expression recognition, combining pixel-based features with geometric landmark dependencies—her 2021 paper on this topic has garnered 70 citations. For mobile robotics, she has significantly advanced path planning algorithms by integrating reinforcement learning with traditional methods like Hybrid A* and RRT, achieving smoother, safer trajectories with 40 and 12 citations respectively. In rehabilitation robotics, Dai has developed adaptive control systems using actor-critic algorithms and fuzzy neural networks to enable patient-specific, assisted-as-needed therapy for upper limb recovery. Her work on bionic robotic dolphins and bio-mimetic robot fish demonstrates her versatility in bio-inspired systems. With over 200 total citations across her publications, Dai’s contributions are particularly notable for their practical impact—her path planning research directly addresses real-world collision avoidance, while her rehabilitation systems aim to improve stroke patient outcomes through intelligent, adaptive control.
Research Focus
Key Achievements
Top Papers
- 1Facial Expression Recognition Using Hybrid Features of Pixel and Geometry70 citations · 2021
- 2Path Planning Based on Improved Hybrid A<sup>*</sup>Algorithm40 citations · 2021
- 3Research on the implementation of average speed for a bionic robotic dolphin14 citations · 2015
- 4
- 5
- 6
- 7
- 8
- 9
- 10