activity
20222026
most citedEmbedded Object Detection and Mapping in Soft Materials Using Optical Tactile Sensing

6 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration

Yang You, Won Kyung Do, Aiden Swann +3

Simulating optical tactile sensors presents significant challenges due to their high deformability and intricate optical properties. To address these issues and enable a physically…

cs.RO2025

TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation

Won Kyung Do, Matthew Strong, Aiden Swann +2

Advanced dexterous manipulation involving multiple simultaneous contacts across different surfaces, like pinching coins from ground or manipulating intertwined objects, remains cha…

cs.RO2024★ 1 cited

Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting

Aiden Swann, Matthew Strong, Won Kyung Do +3

In this work, we propose a novel method to supervise 3D Gaussian Splatting (3DGS) scenes using optical tactile sensors. Optical tactile sensors have become widespread in their use…

cs.RO2023★ 1 cited

DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces

Won Kyung Do, Ankush Kundan Dhawan, Mathilda Kitzmann +1

Dexterous manipulation, especially of small daily objects, continues to pose complex challenges in robotics. This paper introduces the DenseTact-Mini, an optical tactile sensor wit…

cs.RO2023

Inter-finger Small Object Manipulation with DenseTact Optical Tactile Sensor

Won Kyung Do, Bianca Aumann, Camille Chungyoun +1

The ability to grasp and manipulate small objects in cluttered environments remains a significant challenge. This paper introduces a novel approach that utilizes a tactile sensor-e…

cs.RO2023★ 6 cited

Embedded Object Detection and Mapping in Soft Materials Using Optical Tactile Sensing

Jose A. Solano-Castellanos, Won Kyung Do, Monroe Kennedy

In this paper, we present a methodology that uses an optical tactile sensor for efficient tactile exploration of embedded objects within soft materials. The methodology consists of…

cs.RO2022★ 1 cited

DenseTact 2.0: Optical Tactile Sensor for Shape and Force Reconstruction

Won Kyung Do, Bianca Jurewicz, Monroe Kennedy

Collaborative robots stand to have an immense impact on both human welfare in domestic service applications and industrial superiority in advanced manufacturing with dexterous asse…

cs.RO2022★ 1 cited

DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction

Won Kyung Do, Monroe Kennedy

Increasing the performance of tactile sensing in robots enables versatile, in-hand manipulation. Vision-based tactile sensors have been widely used as rich tactile feedback has bee…