A Comparison of Imitation Learning Algorithms for Bimanual Manipulation-Reference-Cited by-同舟云学术

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A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

Published:2024-10 Issue:10 Volume:9 Page:8579-8586
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Drolet Michael¹^ORCID,Stepputtis Simon²,Kailas Siva²^ORCID,Jain Ajinkya³,Peters Jan⁴^ORCID,Schaal Stefan³^ORCID,Amor Heni Ben¹^ORCID

Affiliation:

1. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA

2. Robotics Institute, Carnegie Mellon University, Pittsburgh, AZ, USA

3. [Google] Intrinsic, Mountain View, CA, USA

4. Department of Computer Science, TU Darmstadt, Darmstadt, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10638067/10638712.pdf?arnumber=10638712

Reference57 articles.

1. A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies

2. Dual arm robot for flexible and cooperative assembly

3. Learning to drive a bicycle using reinforcement learning and shaping;Randlv,1998

4. Reward Function Design in Reinforcement Learning

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