Papers
1
Total Citations
5
H-Index
1
About
Yun-Jeong Kim is a leading innovator in intelligent robotic systems, with a primary focus on tactile sensing and deformable object manipulation. Her most cited work, "Intelligent Gripper Systems Using Air Gap‐Controlled Bimodal Tactile Sensors for Deformable Object Classification" (2023), introduces a groundbreaking approach to robot intelligence through multimodal tactile sensors. Kim’s major contribution lies in developing bimodal sensors that simultaneously recognize both the size and stiffness of grasped objects, a critical capability for handling deformable materials in real-world applications. This work has garnered 5 citations, establishing a foundation for more adaptive and precise robotic grippers. By integrating air gap control, her sensors achieve high accuracy and durability, enabling reliable data collection for complex classification tasks. Kim’s research bridges the gap between sensor design and practical robotics, offering transformative potential for industries ranging from manufacturing to healthcare. Her achievements highlight a commitment to enhancing robot autonomy through tactile feedback, positioning her as a key figure in advancing intelligent manipulation systems that can safely interact with fragile or variable objects.
Research Focus
Key Achievements
Top Papers
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