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Chang-Hyun Kim

3 accepted papers

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
2018

Experimental Verification of a Magnetic Levitation Transport System for the OLED Display Evaporation Process Under Vacuum

RA-L 2018

The manufacturing process of OLED displays requires a high accuracy and a highly clean transport system because during the evaporation process, organic materials are inherently sensitive to contamination and uniform deposition of an organic layer is important. Roller-based transfer systems are not s

Cited by 9SourceScholar