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Künstliche Intelligenz 24(4) - November 2010

https://dl.gi.de/handle/20.500.12116/11107
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Auflistung Künstliche Intelligenz 24(4) - November 2010 nach Autor:in "Beetz, Michael"

1 - 4 von 4
  • Zeitschriftenartikel
    CoTeSys—Cognition for Technical Systems
    (KI - Künstliche Intelligenz: Vol. 24, No. 4, 2010) Buss, Martin; Beetz, Michael
    The CoTeSys cluster of excellence (Beetz et al. in Proceedings of the 30th German Conference on Artificial Intelligence, KI-2007, pp. 19–42, 2007) investigates cognition for technical systems such as robots and factories. Cognitive technical systems (CTS) are information processing systems equipped with artificial sensors and actuators, integrated and embedded into physical systems, and acting in a physical world. They differ from other technical systems as they perform cognitive control and have cognitive capabilities. Cognitive control orchestrates reflexive and habitual behavior in accord with longterm intentions. Cognitive capabilities such as perception, action, knowledge and models, reasoning, learning and planning turn technical systems into systems that “know what they are doing”. The cognitive capabilities result in systems of higher reliability, flexibility, adaptivity and better performance.
  • Zeitschriftenartikel
    Interview with Eric Berger (Co-Director, Personal Robotics Program, Willow Garage)
    (KI - Künstliche Intelligenz: Vol. 24, No. 4, 2010) Beetz, Michael; Kirsch, Alexandra
  • Zeitschriftenartikel
    Learning from Humans—Computational Models of Cognition-Enabled Control of Everyday Activity
    (KI - Künstliche Intelligenz: Vol. 24, No. 4, 2010) Beetz, Michael; Buss, Martin; Radig, Bernd
    In recent years, we have seen tremendous advances in the mechatronic, sensing and computational infrastructure of robots, enabling them to act in several application domains faster, stronger and more accurately than humans do. Yet, when it comes to accomplishing manipulation tasks in everyday settings, robots often do not even reach the sophistication and performance of young children. In this article, we describe an interdisciplinary research approach in which we design computational models for controlling robots performing everyday manipulation tasks inspired by the observation of human activities.
  • Zeitschriftenartikel
    Special Issue on Cognition for Technical Systems
    (KI - Künstliche Intelligenz: Vol. 24, No. 4, 2010) Beetz, Michael; Kirsch, Alexandra