Artificial Cognition in Autonomous Assembly Planning Systems

  • Christian Buescher
  • Marcel Mayer
  • Daniel Schilberg
  • Sabina Jeschke
Conference paper

DOI: 10.1007/978-3-642-25489-5_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7102)
Cite this paper as:
Buescher C., Mayer M., Schilberg D., Jeschke S. (2011) Artificial Cognition in Autonomous Assembly Planning Systems. In: Jeschke S., Liu H., Schilberg D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science, vol 7102. Springer, Berlin, Heidelberg

Abstract

Cognition is of great interest in several scientific disciplines. The issue is to transfer human cognitive capabilities to technical systems and so generate artificial cognition. But while robots are learning to communicate or behave socially only a few examples for applications in production engineering and especially in assembly planning exist. In this field cognitive systems can achieve a technological advance by means of self-optimization and the associated autonomous adaption of the system’s behavior to external goal states. In this paper cognitive technical systems and their software architectures in general are discussed as well as several assembly planning systems. A precise autonomous assembly planning system and its implementation of cognitive capabilities is presented in detail.

Keywords

Cognition Self-Optimization Cognitive Technical Systems Assembly Planning Systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christian Buescher
    • 1
  • Marcel Mayer
    • 2
  • Daniel Schilberg
    • 1
  • Sabina Jeschke
    • 1
  1. 1.Institute of Information Management in Mechanical EngineeringRWTH Aachen UniversityAachenGermany
  2. 2.Chair and Institute of Industrial Engineering and ErgonomicsRWTH Aachen UniversityAachenGermany

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