Papers
4
Total Citations
99
H-Index
3
About
Yong-Sin Seo is a pioneering roboticist whose work bridges soft robotics and bioinspired design to create adaptive, resilient machines. His primary research areas include soft grippers, variable-stiffness mechanisms, and human-mimetic robotic joints. Seo’s most influential contribution is the shape-adaptive universal soft parallel gripper (2020, 60 citations), which uses a stiffness-variable composite structure to delicately grasp fragile objects—a critical advance over rigid parallel grippers that often damage delicate items. He further pushed boundaries with a variable-stiffness morphing wheel inspired by liquid droplet surface tension (2024, 25 citations), enabling mobile robots to overcome obstacles while maintaining energy efficiency on flat terrain. In a notably creative achievement, Seo developed a human-mimetic soft robot joint that absorbs shock through dislocation (2019, 11 citations), replicating the elbow’s humeroulnar joint to enhance safety in human-robot interaction. His work on porous-structure grippers (2021) continues to refine adaptive grasping. With over 100 total citations and a growing portfolio of patents, Seo is recognized for transforming rigid robotic components into compliant, intelligent systems—making robots safer and more versatile for industrial and service applications.
Research Focus
Key Achievements
Top Papers
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- 4Shape-adaptive Stiffness Variable Soft Gripper Using Porous Structure3 citations · 2021