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Auflistung nach Autor:in "Tenorth, Moritz"

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  • Zeitschriftenartikel
    Knowledge Processing for Cognitive Robots
    (KI - Künstliche Intelligenz: Vol. 24, No. 3, 2010) Tenorth, Moritz; Jain, Dominik; Beetz, Michael
    Knowledge processing methods are an important resource for robots that perform challenging tasks in complex, dynamic environments. When applied to robot control, such methods allow to write more general and flexible control programs and enable reasoning about the robot’s observations, the actions involved in a task, action parameters and the reasons why an action was performed. However, the application of knowledge representation and reasoning techniques to autonomous robots creates several hard research challenges. In this article, we discuss some of these challenges and our approaches to solving them.
  • Zeitschriftenartikel
    Open-EASE: A Cloud-Based Knowledge Service for Autonomous Learning
    (KI - Künstliche Intelligenz: Vol. 29, No. 4, 2015) Tenorth, Moritz; Winkler, Jan; Beßler, Daniel; Beetz, Michael
    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.