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  Learning Optimal Striking Points for A Ping-Pong Playing Robot

Huang, Y., Schölkopf, B., & Peters, J. (2015). Learning Optimal Striking Points for A Ping-Pong Playing Robot. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015) (pp. 4587-4592). Piscataway, NJ: IEEE. doi:10.1109/IROS.2015.7354030.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-20A3-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-DCBD-8
Genre: Conference Paper

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 Creators:
Huang, Yanlong1, Author           
Schölkopf, Bernhard1, Author                 
Peters, Jan1, 2, 3, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              
2Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497646              
3External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf; Abt. Schaal
 Abstract: -

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Language(s): eng - English
 Dates: 2015-12-172015
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: HuaSchPet15
DOI: 10.1109/IROS.2015.7354030
 Degree: -

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Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015)
Place of Event: Hamburg
Start-/End Date: 2015-09-28 - 2015-10-02

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Title: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4587 - 4592 Identifier: ISBN: 978-1-4799-9994-1
ISBN: 978-1-4799-9993-4
ISBN: 978-1-4799-9995-8
DOI: 10.1109/IROS33365.2015