most citedDenseTact: Optical Tactile Sensor for Dense Shape Reconstruction

1 citations · 3 across the 4 of their papers we have counts for

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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.RO20231 cited

Considerations for the Control Design of Augmentative Robots

Shivani Guptasarma, Monroe Kennedy

Robotic systems that are intended to augment human capabilities commonly require the use of semi-autonomous control and artificial sensing, while at the same time aiming to empower…

cs.RO20231 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.RO20221 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…