Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
EditorsOleg Gusikhin, Dimitri Peaucelle, Kurosh Madani
PublisherSCITEPRESS Digital Library
Publication date2016
Pages166-177
ISBN (Electronic)978-989-758-198-4
DOIs
Publication statusPublished - 2016
Event13th International Conference on Informatics in Control, Automation and Robotics - Lisbon, Portugal
Duration: 29. Jul 201631. Jul 2016

Conference

Conference13th International Conference on Informatics in Control, Automation and Robotics
CountryPortugal
CityLisbon
Period29/07/201631/07/2016

Cite this

Sørensen, L. C., Buch, J. P., Petersen, H. G., & Kraft, D. (2016). Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. In O. Gusikhin, D. Peaucelle, & K. Madani (Eds.), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (pp. 166-177). SCITEPRESS Digital Library. https://doi.org/10.5220/0005958801660177
Sørensen, Lars Carøe ; Buch, Jacob Pørksen ; Petersen, Henrik Gordon ; Kraft, Dirk. / Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. editor / Oleg Gusikhin ; Dimitri Peaucelle ; Kurosh Madani. SCITEPRESS Digital Library, 2016. pp. 166-177
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title = "Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion",
author = "S{\o}rensen, {Lars Car{\o}e} and Buch, {Jacob P{\o}rksen} and Petersen, {Henrik Gordon} and Dirk Kraft",
year = "2016",
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language = "English",
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Sørensen, LC, Buch, JP, Petersen, HG & Kraft, D 2016, Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. in O Gusikhin, D Peaucelle & K Madani (eds), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS Digital Library, pp. 166-177, 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29/07/2016. https://doi.org/10.5220/0005958801660177

Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. / Sørensen, Lars Carøe; Buch, Jacob Pørksen; Petersen, Henrik Gordon; Kraft, Dirk.

Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. ed. / Oleg Gusikhin; Dimitri Peaucelle; Kurosh Madani. SCITEPRESS Digital Library, 2016. p. 166-177.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion

AU - Sørensen, Lars Carøe

AU - Buch, Jacob Pørksen

AU - Petersen, Henrik Gordon

AU - Kraft, Dirk

PY - 2016

Y1 - 2016

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M3 - Article in proceedings

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EP - 177

BT - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics

A2 - Gusikhin, Oleg

A2 - Peaucelle, Dimitri

A2 - Madani, Kurosh

PB - SCITEPRESS Digital Library

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Sørensen LC, Buch JP, Petersen HG, Kraft D. Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. In Gusikhin O, Peaucelle D, Madani K, editors, Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS Digital Library. 2016. p. 166-177 https://doi.org/10.5220/0005958801660177