Artificial cognition in autonomous assembly planning systems

Authors:
Christian Buescher;Marcel Mayer;Daniel Schilberg;Sabina Jeschke
Affiliations:
Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Aachen, Germany;Chair and Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany;Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Aachen, Germany;Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Aachen, Germany
Venue:
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Year:
2011

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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.