hh.sePublications
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
Intelligent autonomous navigation for mobile robots: Spatial concept acquisition and object discrimination
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Department of Computer Science, State University of Maringá, 87020-900, Maringá - PR, Brazil.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Department of Computer Science and Statistics, University of São Paulo, São Carlos, Brazil.
2005 (English)In: 2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Proceedings, New York: IEEE Press, 2005, p. 553-557Conference paper, Published paper (Refereed)
Abstract [en]

An autonomous system able to construct its own navigation strategy for mobile robots is proposed. The navigation strategy is molded from navigation experiences (succeeding as the robot navigates) according to a classical reinforcement learning procedure. The autonomous system is based on modular hierarchical neural networks. Initially the navigation performance is poor (many collisions occur). Computer simulations show that after a period of learning the autonomous system generates efficient obstacle avoidance and target seeking behaviors. Experiments also offer support for concluding that the autonomous system develops a variety of object discrimination capability and of spatial concepts.

Place, publisher, year, edition, pages
New York: IEEE Press, 2005. p. 553-557
Keywords [en]
intelligent autonomous navigation, neural networks, reinforcement learning, mobile robots, biologically inspired models
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-18729DOI: 10.1109/CIRA.2005.1554335ISI: 000231588200092Scopus ID: 2-s2.0-28444452560ISBN: 0-7803-9355-4 OAI: oai:DiVA.org:hh-18729DiVA, id: diva2:560888
Conference
2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2005, Espoo, Finland, 27-30 June 2005
Note

Category number 05EX1153; Code 66105

Available from: 2012-10-16 Created: 2012-06-25 Last updated: 2018-03-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Antonelo, Eric AislanBaerveldt, Albert Jan

Search in DiVA

By author/editor
Antonelo, Eric AislanBaerveldt, Albert Jan
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
Robotics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 231 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