Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On-line learning of temporal state models for flexible objects
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0003-2965-2953
Show others and affiliations
2012 (English)In: 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids), IEEE , 2012, 712-718 p.Conference paper, Published paper (Refereed)
Abstract [en]

State estimation and control are intimately related processes in robot handling of flexible and articulated objects. While for rigid objects, we can generate a CAD model before-hand and a state estimation boils down to estimation of pose or velocity of the object, in case of flexible and articulated objects, such as a cloth, the representation of the object's state is heavily dependent on the task and execution. For example, when folding a cloth, the representation will mainly depend on the way the folding is executed.

Place, publisher, year, edition, pages
IEEE , 2012. 712-718 p.
Series
IEEE-RAS International Conference on Humanoid Robots, ISSN 2164-0572
Keyword [en]
Articulated object, CAD modeling, Flexible object, Online learning, Rigid objects, Robot handling, Temporal state
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-107726DOI: 10.1109/HUMANOIDS.2012.6651598Scopus ID: 2-s2.0-84891120188ISBN: 978-146731369-8 (print)OAI: oai:DiVA.org:kth-107726DiVA: diva2:577777
Conference
2012 12th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2012; Osaka; Japan; 29 November 2012 through 1 December 2012
Funder
Swedish Foundation for Strategic Research
Note

QC 20121217

Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2014-02-26Bibliographically approved

Open Access in DiVA

bergstrom12humanoids(2458 kB)209 downloads
File information
File name FULLTEXT01.pdfFile size 2458 kBChecksum SHA-512
d5acada486da4ffa1241e3ad6eaef7d3b92cf1f842e93ce4eae4c1067512b1513ac33513c8056c565e087a5851e1899bde4f32427dbde0d92f487eb8901f006a
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Bergström, NiklasEk, Carl HenrikKragic, Danica
By organisation
Computer Vision and Active Perception, CVAPCentre for Autonomous Systems, CAS
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 209 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 180 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf