Papers

2

Total Citations

47

H-Index

2

About

Jin Young Shin is a pioneering researcher at the intersection of smart materials and robotics, with a primary focus on shape memory alloy (SMA) actuators and intelligent control systems for autonomous mobile robots. Her most impactful contribution is the development of a smart textile-composite actuator that integrates shape memory alloys into fabric platforms, enabling the creation of soft robotic grippers capable of handling fragile or irregularly shaped objects without damage. This work, published in 2023 and garnering 43 citations, represents a significant advancement in soft robotics by combining textile engineering with active materials. Shin also designed an embedded fuzzy logic controller (EFLC) for autonomous mobile robots, addressing the computational challenges of increasing fuzzy rules by implementing the logic on a Cortex-M0 processor using Verilog. Her research demonstrates a unique ability to bridge material science, textile technology, and control engineering. With her innovative approach to soft actuators and embedded intelligence, Shin is establishing herself as a rising figure in the field of smart robotic systems, offering practical solutions for delicate object manipulation and autonomous navigation.

Research Focus

Key Achievements

2
H-Index
2
Papers
47
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Shape Memory Alloys in Textile Platform: Smart Textile-Composite Actuator and Its Application to Soft Grippers
43 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Dongguk University, Seoul National University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago