Dynamical Systems in the Sensorimotor Loop: On the Interrelation Between Internal and External Mechanisms of Evolved Robot Behavior

Frank Pasemann, Martin Hülse, Steffen Wischmann, Poramate Manoonpong, Arndt von Twickel

Research output: Chapter in Book/Report/Conference proceedingChapter

15 Citations (SciVal)

Abstract

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.
Original languageEnglish
Title of host publicationM. Lungarella
EditorsF. Iida, J. Bongard, R. Pfeifer
PublisherSpringer Nature
DOIs
Publication statusPublished - Dec 2007

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