Papers
1
Total Citations
5
H-Index
1
About
Yulim Min is a pioneering researcher in intelligent robotic systems and tactile sensing, with a focus on developing advanced sensor technologies for deformable object manipulation. Her most-cited work, "Intelligent Gripper Systems Using Air Gap‐Controlled Bimodal Tactile Sensors for Deformable Object Classification" (2023, 5 citations), introduces a novel approach to multimodal tactile sensing that enables robots to simultaneously recognize object size and stiffness during grasping. This breakthrough addresses a critical challenge in robotics: the need for high-accuracy, durable sensors that can provide reliable datasets for object classification. By engineering air gap-controlled bimodal sensors, Min has created a system that significantly enhances robot intelligence in handling deformable objects—a capability essential for applications in manufacturing, healthcare, and service robotics. Her work stands out for its practical integration of sensor design with gripper mechanics, offering a scalable solution for real-world robotic tasks. Min's contributions are particularly notable for bridging the gap between sensor accuracy and real-time adaptability, laying the groundwork for more autonomous and perceptive robotic systems. With her innovative approach to tactile sensing, she is shaping the future of intelligent manipulation in robotics.
Research Focus
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Top Papers
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