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Title:

Continual Learning on Incremental Simulations for Real-World Robotic Manipulation Tasks

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Josifovski, Josip; Malmir, Mohammadhossein; Klarmann, Noah; Knoll, Alois
Pages contribution:
Nicht veröffentlichter Vortrag
Abstract:
Current state-of-the-art approaches for transferring deep-learning models trained in simulation either rely on highly realistic simulations or employ randomization techniques to bridge the reality gap. However, such strategies do not scale well for complex robotic tasks; highly-realistic simulations are computationally expensive and hard to implement, while randomization techniques become sample-inefficient as the complexity of the task increases. In this paper, we propose a procedure for train...     »
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme
Book / Congress title:
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics at Robotics: Science and Systems (R:SS) 2020
Year:
2020
Reviewed:
nein
Language:
en
Publication format:
WWW
WWW:
https://sim2real.github.io/assets/papers/2020/josifovski.pdf
Format:
Text
 BibTeX