Generation of GelSight Tactile Images for Sim2Real Learning



Gomes, Daniel Fernandes, Paoletti, Paolo ORCID: 0000-0001-6131-0377 and Luo, Shan ORCID: 0000-0003-4760-0372
(2021) Generation of GelSight Tactile Images for Sim2Real Learning. IEEE ROBOTICS AND AUTOMATION LETTERS, 6 (2). 4177 - 4184.

This is the latest version of this item.

[img] Text
GelSight_Simulation_for_Sim2Real_Learning.pdf - Accepted Version

Download (4MB) | Preview
Item Type: Article
Uncontrolled Keywords: Deep learning methods, data sets for robot learning, force and tactile sensing, transfer learning
Depositing User: Symplectic Admin
Date Deposited: 05 Mar 2021 11:10
Last Modified: 11 Jun 2022 15:11
DOI: 10.1109/LRA.2021.3063925
Open Access URL: https://ieeexplore.ieee.org/document/9369877
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3116580

Available Versions of this Item