M Hülse, S Wischmann, P Manoonpong, A von Twickel, and F Pasemann (in press)
Dynamical systems in the sensorimotor loop: On the interrelation between internal and external mechanisms of evolved robot behavior
In: Proc. of the 50th Anniversary of Artificial Intelligence. Springer-Verlag. (export entry)
This case study demonstrates how the synthesis and the
analysis of minimal recurrent neural robot control provide insights into
the exploration of embodiment. By using structural evolution, minimal
recurrent neural networks of general type were evolved for behavior control.
The small size of the neural structures facilitates thorough investigations
of behavior relevant neural dynamics and how they relate to
interactions of robots within the sensorimotor loop. We argue that a clarification
of dynamical neural control mechanisms in a reasonable depth
allows quantitative statements about the effects of the sensorimotor loop
and suggests general qualitative implications about the embodiment of
autonomous robots and biological systems as well.