Dynamical systems in the sensorimotor loop: On the interrelation between internal and external mechanisms of evolved robot behavior

Autor(en): Hülse, M.
Wischmann, S.
Manoonpong, P.
Von Twickel, A.
Pasemann, F.
Stichwörter: Biological systems; Recurrent neural networks; Robotics; Robots; Sensors, Recurrent neural robot control; Sensorimotor loops, Dynamical systems
Erscheinungsdatum: 2007
Herausgeber: Springer Verlag
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 4850 LNAI
Startseite: 186
Seitenende: 195
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. © Springer-Verlag Berlin Heidelberg 2007.
ISBN: 9783540772958
ISSN: 03029743
DOI: 10.1007/978-3-540-77296-5_18
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-37149034458&doi=10.1007%2f978-3-540-77296-5_18&partnerID=40&md5=eb516a7242f5d7539efb72acf244d551

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