oru.sePublikationer
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
Learning context-aware mobile robot navigation in home environments
Dipartimento di Informatica, Università di Pisa, Italy.
Dipartimento di Informatica, Università di Pisa, Italy.
Dipartimento di Informatica, Università di Pisa, Italy.
Örebro University, School of Science and Technology, Örebro University, Sweden. (AASS)
Show others and affiliations
2014 (English)In: IISA 2014: The 5th International Conference on Information, Intelligence, Systems and Applications, New York: Institute of Electrical and Electronics Engineers (IEEE), 2014, 57-62 p., 6878733Conference paper, Published paper (Refereed)
Abstract [en]

We present an approach to make planning adaptive in order to enable context-aware mobile robot navigation. We integrate a model-based planner with a distributed learning system based on reservoir computing, to yield personalized planning and resource allocations that account for user preferences and environmental changes. We demonstrate our approach in a real robot ecology, and show that the learning system can effectively exploit historical data about navigation performance to modify the models in the planner, without any prior information oncerning the phenomenon being modeled. The plans produced by the adapted CL fail more rarely than the ones generated by a non-adaptive planner. The distributed learning system handles the new learning task autonomously, and is able to automatically identify the sensorial information most relevant for the task, thus reducing the communication and computational overhead of the predictive task.

Place, publisher, year, edition, pages
New York: Institute of Electrical and Electronics Engineers (IEEE), 2014. 57-62 p., 6878733
National Category
Robotics Computer Science
Research subject
Computer Science; Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-55288DOI: 10.1109/IISA.2014.6878733ISI: 000345861900012Scopus ID: 2-s2.0-84906748619OAI: oai:DiVA.org:oru-55288DiVA: diva2:1071066
Conference
5th International Conference on Information, Intelligence, Systems and Applications (IISA 2014), Chania, Crete, Greece, July 7-9, 2014
Projects
EU FP7 RUBICON
Funder
EU, FP7, Seventh Framework Programme, 269914
Available from: 2017-02-03 Created: 2017-02-03 Last updated: 2017-02-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Di Rocco, MaurizioSaffiotti, Alessandro
By organisation
School of Science and Technology, Örebro University, Sweden
RoboticsComputer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 109 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