Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Strategies for object manipulation using foveal and peripheral vision
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
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.ORCID iD: 0000-0003-0579-3372
2006 (English)In: International Conference on Computer Vision Systems (ICVS), New York, USA, IEEE Computer Society, 2006, 50- p.Conference paper, Published paper (Refereed)
Abstract [en]

Computer vision is gaining significant importance as a cheap, passive, and information-rich sensor in research areas such as unmanned vehicles, medical robotics, human-machine interaction, autonomous navigation,robotic manipulation and grasping. However, a current trend is to build computer vision systems that are used to perform a specific task which makes it hard to reuse the ideas across different disciplines. In this paper, we concentrate on vision strategies for robotic manipulation tasksin a domestic environment. This work is an extension of our ongoing work on a development of a general vision system for robotic applications. Inparticular, given fetch-and-carry type of tasks, the issues related to the whole detect-approach-grasp loop are considered.

Place, publisher, year, edition, pages
IEEE Computer Society, 2006. 50- p.
Keyword [en]
Computer Vision, Active Vision, Manipulation, Robotics
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-51384DOI: 10.1109/ICVS.2006.57Scopus ID: 2-s2.0-33749392343ISBN: 0-7695-2506-7 (print)OAI: oai:DiVA.org:kth-51384DiVA: diva2:464067
Conference
International Conference on Computer Vision Systems
Note

© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120111

Available from: 2012-01-11 Created: 2011-12-12 Last updated: 2013-11-20Bibliographically approved

Open Access in DiVA

fulltext(1042 kB)218 downloads
File information
File name FULLTEXT01.pdfFile size 1042 kBChecksum SHA-512
2d40e3126bc03eded00cba81e23f3bcb2c0d71d650fba8b2426b3d291434c701219f557388955ec4c40fd8c8baba7bf8e41c46874e504c57acdc1bc19515fead
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusIEEEXplore

Authority records BETA

Kragic, DanicaBjörkman, Mårten

Search in DiVA

By author/editor
Kragic, DanicaBjörkman, Mårten
By organisation
Computer Vision and Active Perception, CVAPCentre for Autonomous Systems, CAS
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 218 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: 60 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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