Learning synergies based in‐hand manipulation with reward shaping-Reference-Cited by-同舟云学术

Learning synergies based in‐hand manipulation with reward shaping

Published:2020-07-10 Issue:3 Volume:5 Page:141-149
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Deng Zhen¹,Zhang Jian Wei¹

Affiliation:

1. TAMS Group, InformaticsUniversity of HamburgHamburgD‐22527Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2019.0094

Reference35 articles.

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3. Mordatch I. Popović Z. Todorov E.: ‘Contact‐invariant optimization for hand manipulation’.Proc. ACM SIGGRAPH/Eurographics Symp. on Computer Animation Lausanne Switzerland 2012 pp.137–144

4. Gupta A. Eppner C. Levine S.et al.: ‘Learning dexterous manipulation for a soft robotic hand from human demonstrations’.2016 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) Daejeon Korea 2016 pp.3786–3793

5. Zhu H. Gupta A. Rajeswaran A.et al.: ‘Dexterous manipulation with deep reinforcement learning: efficient general and low‐cost’.2019 Int. Conf. on Robotics and Automation (ICRA) Montreal Canada 2019 pp.3651–3657

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