Papers
2
Total Citations
5
H-Index
2
About
Yimei Chen is a robotics and rehabilitation engineering researcher whose work spans intelligent control systems and assistive robotic technologies. Chen's research focuses on two primary areas: robotic rehabilitation for neurological conditions and advanced motion control algorithms for mobile robotic systems. Among Chen's most notable contributions is the development of a task-oriented rehabilitation program utilizing a bimanual exoskeleton robotic hand, published in 2020, which addresses a critical gap in translating conventional occupational therapy strategies into robot-assisted treatment for stroke patients experiencing upper limb motor impairment. This work, which has garnered 3 citations, represents a meaningful step toward more clinically practical rehabilitation robotics. Earlier work from 2010 demonstrated Chen's foundational expertise in motion control, presenting a modified Iterative Learning Control algorithm for wheeled mobile robots that improves trajectory tracking performance by integrating Model Algorithmic Learning principles into classical control frameworks. Though Chen's citation profile remains emerging, the breadth of contributions — bridging rehabilitation medicine and autonomous robotic control — reflects a researcher committed to developing impactful, real-world robotic solutions with applications in both clinical care and autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Modified Trajectory Tracking Algorithm Based on ILC for Mobile Robots2 citations · 2010