Yunhe Bai
Papers
1
Total Citations
29
H-Index
1
About
Yunhe Bai is a rising researcher in the field of soft robotics and bionic engineering, with a primary focus on shape memory alloy (SMA) artificial muscles. His most-cited work, the 2023 review "A review of shape memory alloy artificial muscles in bionic applications" (29 citations), systematically examines how SMA-based actuators can replicate biological muscle characteristics for use in soft robots. This review has become a key reference for researchers seeking to bridge the gap between material science and biomimetic design. Bai's contributions lie in synthesizing the current state of SMA artificial muscle technology, identifying critical challenges in actuation efficiency and control, and outlining promising directions for bionic applications—from prosthetic limbs to bio-inspired locomotion. While his citation count reflects an early but growing impact, his work is notable for providing a comprehensive framework that helps guide both newcomers and established engineers in the field. As the demand for lifelike, flexible robots increases, Bai's foundational review positions him as an important voice in the development of next-generation artificial muscles.
Research Focus
Key Achievements
Top Papers
- 1A review of shape memory alloy artificial muscles in bionic applications29 citations · 2023