Developing Self-Organizing Robotic Cells using Organic Computing Principles

Alwin Hoffmann, Florian Nafz, Hella Seebach, Andreas Schierl, and Wolfgang Reif

Nowadays industrial robotics applications, which are often designed and planned with a huge amount of effort, have a fixed behavior during runtime and cannot react to changes in their environment. Failures can hardly be compensated and often can only be repaired by human involvement. In this paper we present a layered approach for developing self-organization systems that are able to take advantage of Organic Computing principles and therefore are more robust and flexible during runtime.
Workshop on Bio-Inspired Self-Organizing Robotic Systems, 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, USA, May 3-8, 2010