activity
20142024
most citedMore Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

374 citations · 1.2k across the 33 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 8 cited

3D Shape Perception from Monocular Vision, Touch, and Shape Priors

Shaoxiong Wang, Jiajun Wu, Xingyuan Sun +4

Perceiving accurate 3D object shape is important for robots to interact with the physical world. Current research along this direction has been primarily relying on visual observat…

cs.RO2018★ 374 cited

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Roberto Calandra, Andrew Owens, Dinesh Jayaraman +5

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus can…

cs.RO2018★ 15 cited

ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition

Shan Luo, Wenzhen Yuan, Edward Adelson +2

Vision and touch are two of the important sensing modalities for humans and they offer complementary information for sensing the environment. Robots could also benefit from such mu…

cs.RO2018★ 1 cited

GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger

Elliott Donlon, Siyuan Dong, Melody Liu +3

This work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques, features an integ…

cs.RO2018★ 15 cited

Slip Detection with Combined Tactile and Visual Information

Jianhua Li, Siyuan Dong, Edward Adelson

Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community. In this paper, we propose a new method based on deep…