Logo des Repositoriums
 
Zeitschriftenartikel

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

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Journal Article

Zusatzinformation

Datum

2015

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Springer

Zusammenfassung

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.

Beschreibung

Tenorth, Moritz; Winkler, Jan; Beßler, Daniel; Beetz, Michael (2015): Open-EASE: A Cloud-Based Knowledge Service for Autonomous Learning. KI - Künstliche Intelligenz: Vol. 29, No. 4. Springer. PISSN: 1610-1987. pp. 407-411

Schlagwörter

Zitierform

DOI

Tags