Cognitive Engineering for Direct Human-Robot Cooperation in Self-optimizing Assembly Cells

  • Authors:
  • Marcel Ph. Mayer;Barbara Odenthal;Marco Faber;Jan Neuhöfer;Wolfgang Kabuß;Bernhard Kausch;Christopher M. Schlick

  • Affiliations:
  • Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062;Institute of Industrial Engineering and Ergonomics at RWTH Aachen University, Aachen, Germany 52062

  • Venue:
  • HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In a work system with direct human robot cooperation the conformity of the operator's expectation with the behavior of the robotic device is of great importance. In this contribution a novel approach for the numerical control of such a system based on human cognition and a cognitive engineered approach for the encoding of the system's a priori knowledge is introduced. The implementation using an established method in the field of design of cognitive systems is compared to a schema describing human decision making. Finally, simulation results of the implementation are compared to empirical tests with individuals.