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Won Dong Kim

7 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
2025

Application of Koopman Direct Encoding-Based Model Predictive Control to Nonlinear Electromechanical Systems

ICRA 2025

The Koopman operator framework has shown promising results in enabling the analysis of nonlinear dynamics into an infinite-dimensional linear representation. Koopman direct encoding (KDE) is a model-based approach that utilizes inner products and compositions in a Hilbert space to compute the Koopma

Cited by 0SourceScholar
2025

Object Extrinsic Contact Surface Reconstruction through Extrinsic Contact Sensing from Visuo-tactile Measurements

IROS 2025

When manipulating an object, a robot must recognize not only the parts it directly grasps but also the surfaces in contact with the environment, which we refer to as extrinsic contact surfaces. These surfaces directly affect how the object interacts with its environment, and accurate surface estimat

Cited by 0SourceScholar
2024

In-Hand Object Classification and Pose Estimation With Sim-to-Real Tactile Transfer for Robotic Manipulation

RA-L 2024

Dexterous robotic grasping gains great benefits from tactile sensation, but delicate object exploration by tactile information is challenged by difficulty in rich and efficient data production. In this letter, we propose a tactile-based in-hand object perception approach, empowered by a sim-to-real

Cited by 11SourceScholar
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