Chapter

Intelligent Robotics and Applications

Volume 7102 of the series Lecture Notes in Computer Science pp 168-178

Artificial Cognition in Autonomous Assembly Planning Systems

  • Christian BuescherAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering, RWTH Aachen University
  • , Marcel MayerAffiliated withCarnegie Mellon UniversityChair and Institute of Industrial Engineering and Ergonomics, RWTH Aachen University
  • , Daniel SchilbergAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering, RWTH Aachen University
  • , Sabina JeschkeAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering, RWTH Aachen University

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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.

Keywords

Cognition Self-Optimization Cognitive Technical Systems Assembly Planning Systems