Neurobionic architecture of automation systems-obstacles and challenges

Abstract

For a long time, engineering technologies tried to learn lessons from biology and took the line of bionic approaches. Well known examples of bionic methods can be found in robotics or in the aerospace industry. Without question, the human brain is the most Important example of successfully controlling a complex system - our body. When building up complex automation systems with massive numbers of information, implications and relations, a next step could be to include neurobiology, psychology and psychoanalysis aspects. In this context, we present a new model and show obstacles and demands when putting the model into practice.