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Open-EASE: A Cloud-Based Knowledge Service for Autonomous Learning


  • Tenorth, M.
  • Winkler, J.
  • Beßler, D.
  • Beetz, M.

Meta information [BibTeX]

  • Year: 2015, Reviewed
  • In: KI - Künstliche Intelligenz
  • Publisher: Springer, Berlin Heidelberg
  • Volume 29, Issue 4
  • Pages: 407-411
  • ISSN: 0933-1875
  • DOI: 10.1007/s13218-015-0364-1

Arbeitsgruppe IAI


We present Open-EASE, a cloud-based knowledge base of robot experience data that can serve as episodic memory, providing a robot with comprehensive information for autonomously learning manipulation tasks. Open-EASE combines both robot and human activity data in a common, semantically annotated knowledge base, including robot poses, object information, environment models, the robot’s intentions and beliefs, as well as information about the actions that have been performed. A powerful query language and inference tools support reasoning about the data and retrieving information based on semantic queries. In this paper, we focus on applications of Open-EASE in the context of autonomous learning.

Tenorth, M.; Winkler, J.; Beßler, D.; Beetz, M.
Open-EASE: A Cloud-Based Knowledge Service for Autonomous Learning
In: KI - Künstliche Intelligenz , 29(2015)4, Springer, Berlin Heidelberg, pp. 407-411
(Workgroup: IAI)
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