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
Merging Appearance-Based Spatial Knowledge in Multirobot Systems
KTH, School of Computer Science and Communication (CSC), Robotics, perception and learning, RPL.
2016 (English)In: 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, 5107-5112 p.Conference paper (Refereed)
Abstract [en]

This paper considers the merging of appearance based spatial knowledge among robots having compatible visual sensing. Each robot is assumed to retain its knowledge in its individual long-term spatial memory where i) the place knowledge and their spatial relations are retained in an organized manner in place and map memories respectively; and ii) a 'place' refers to a spatial region as designated by a collection of associated appearances. hi the proposed approach, each robot communicates with another robot, receives its memory and then merges the received knowledge with its own. The novelty of the merging process is that it is done in two stages: merging of place knowledge followed by the merging of map knowledge. As each robot's place memory is processed as a whole or in portions, the merging process scales easily with respect to the amount and overlap of the appearance data. Furthermore, the merging can be done in decentralized manner. Our experimental results with a team of three robots demonstrate that the resulting merged knowledge enables the robots to reason about learned places.

Place, publisher, year, edition, pages
2016. 5107-5112 p.
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-202677ISI: 000391921705020ScopusID: 2-s2.0-85006380155ISBN: 978-1-5090-3762-9 OAI: oai:DiVA.org:kth-202677DiVA: diva2:1078611
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), OCT 09-14, 2016, Daejeon, SOUTH KOREA
Note

QC 20170306

Available from: 2017-03-06 Created: 2017-03-06 Last updated: 2017-03-06Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Karaoǧuz, Hakan
By organisation
Robotics, perception and learning, RPL
Robotics

Search outside of DiVA

GoogleGoogle Scholar

Total: 1 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