A Sim-to-Real Learning-Based Framework for Contact-Rich Assembly by Utilizing CycleGAN and Force Control-Reference-Cited by-同舟云学术

A Sim-to-Real Learning-Based Framework for Contact-Rich Assembly by Utilizing CycleGAN and Force Control

Author:

Shi Yunlei¹^ORCID,Yuan Chengjie²,Tsitos Athanasios³,Cong Lin¹,Hadjar Hamid³,Chen Zhaopeng⁴,Zhang Jianwei¹^ORCID

Affiliation:

1. Department of Informatics, Technical Aspects of Multimodal Systems, Universität Hamburg, Hamburg, Germany

2. Department of Electrical and Computer Engineering, Technische Universität München, Munich, Germany

3. Department of Intelligent Solutions and Applications, Agile Robots AG, Munich, Germany

4. Agile Robots AG, Munich, Germany

Funder

German Research Foundation (DFG) and the National Science Foundation of China (NSFC) through the Project Crossmodal Learning

European Projects H2020 STEP2DYNA

ULTRACEPT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

Reference60 articles.

3. A review of robot learning for manipulation: Challenges, representations, and algorithms;Kroemer;J. Mach. Learn. Res.,2021

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