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Jeong-Jung Kim

3 accepted papers

2026

UVDtact: UV Marker-Embedded Fingertip-Like Vision-Based Tactile Sensor for Shape Reconstruction and Force Estimation

ICRA 2026poster

Vision-based tactile sensors are highly promising for enabling robots to perform dexterous, contact-rich manipulation tasks by providing high-resolution tactile data. Recent studies have attempted to implement shape reconstruction and force estimation capabilities for sensors with omnidirectional se…

Cited by 0Scholar
2023

Marker-Embedded Tactile Image Generation via Generative Adversarial Networks

RA-L 2023

Data-driven methods have been successfully applied to images from vision-based tactile sensors to fulfill various manipulation tasks. Nevertheless, these methods remain inefficient because of the lack of methods for simulating the sensors. Relevant research on simulating vision-based tactile sensors

Cited by 16SourceScholar
2022

UVtac: Switchable UV Marker-Based Tactile Sensing Finger for Effective Force Estimation and Object Localization

RA-L 2022

Vision-based tactile sensors provide diverse information of external tactile stimuli on the skin of sensors using both marker and reflective membrane images. However, when markers and reflective membranes are used concurrently, conventional opaque markers inevitably disturb the camera’s view of the

Cited by 33SourceScholar