Cognitive robots learning failure contexts through experimentation

Sertac Karapinar, Sanem Sariel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

We propose a lifelong experimental learning method for cognitive robots to build and transfer knowledge among appropriate contexts. Experience gained through learning is used as a guide to future decisions of robots for both efficiency and robustness.

Original languageEnglish
Title of host publicationAAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
EditorsRafael H. Bordini, Pinar Yolum, Edith Elkind, Gerhard Weiss
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1843-1844
Number of pages2
ISBN (Electronic)9781450337717
Publication statusPublished - 2015
Event14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 - Istanbul, Turkey
Duration: 4 May 20158 May 2015

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015
Country/TerritoryTurkey
CityIstanbul
Period4/05/158/05/15

Bibliographical note

Publisher Copyright:
Copyright © 2015, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Keywords

  • Cognitive robots
  • Execution monitoring
  • Online learning
  • Planning and plan execution
  • Real-world experimentation

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