Yujie Su
Papers
5
Total Citations
68
H-Index
4
About
Yujie Su is at the forefront of soft robotics and bio-inspired actuation, pioneering technologies that bridge the gap between flexible materials and intelligent control. Their research centers on developing high-performance artificial muscles and advanced posture perception systems for soft robots, with a particular focus on rehabilitation applications. Su’s major contributions include the creation of “ExoMuscle,” a fluid-driven bionic artificial muscle that mimics the sarcomere structure of skeletal muscle, enabling adjustable muscle architecture for more natural robotic movement. Additionally, they have innovated kirigami-inspired flexible sensors with porous structures, integrating Long Short-Term Memory (LSTM) neural networks to achieve end-to-end posture perception for soft bending actuators—a critical advancement for closed-loop control in soft robotics. Their work on magnetoelastic strain sensors further extends sensing capabilities to highly deformed postures, maintaining stable output under 200% strain. With over 68 citations across their most-cited papers, Su’s research has garnered attention for its practical impact, including a portable ankle-foot orthosis design that addresses the portability challenges of pneumatic actuators. Their interdisciplinary approach, combining materials science, neural networks, and biomechanics, positions them as a rising leader in creating smarter, more adaptive soft robotic systems for rehabilitation and beyond.
Research Focus
Key Achievements
Top Papers
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