Yihan Shan
Papers
1
Total Citations
3
H-Index
1
About
Yihan Shan is a rising researcher in the field of medical assistive robotics, with a focused interest in adaptive control systems and human-robot interaction. Their most notable contribution is the development of stiffness adaptation control for medical assistive robots, a critical advancement for enhancing the safety and comfort of human-robot collaboration in rehabilitation and surgical settings. In their key 2024 paper, "Research on stiffness adaptation control of medical assistive robots based on stiffness prediction," Shan introduces a novel framework that uses predictive algorithms to dynamically adjust robot stiffness in real time, enabling more intuitive and responsive assistance for patients with varying needs. This work, which has already garnered early citations, addresses a fundamental challenge in assistive robotics: balancing rigidity for precision with compliance for safety. Shan’s research is paving the way for next-generation medical robots that can better adapt to human physiology, potentially improving outcomes in physical therapy and minimally invasive procedures. As an emerging voice in this interdisciplinary domain, Yihan Shan’s contributions are laying a strong foundation for more intelligent and empathetic robotic systems in healthcare.
Research Focus
Key Achievements
Top Papers
- 1