Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems

Jin Y, Meng Y (2011)
In: Bio-Inspired Self-Organizing Robotic Systems. Meng Y, Jin Y (Eds); Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg: 3-23.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Jin, YaochuUniBi ; Meng, Yan
Herausgeber*in
Meng, Yan; Jin, Yaochu
Abstract / Bemerkung
Morphogenesis can be considered as a self-organizing process shaped by natural evolution, in which two major adaptation mechanisms found in nature are involved, namely evolution and development. The main philosophy of morphogenetic robotics is to apply evolutionary developmental principles to robotics for designing self-organizing, self-reconfigurable, and self-repairable single- or multirobot systems. We categorize these methodologies into three areas, namely, morphogenetic swarm robotic systems, morphogenetic modular robots, and co-development of body and brain of robotic systems. In this chapter, we give a brief introduction to morphogenetic robotics. A few examples are also presented to illustrate how evolutionary developmental principles can be applied to swarm robots in changing environment. We also describe computational models for genetically driven neural and morphological development and activity-dependent neural development. As developmental mechanisms are often shaped by evolution both in nature and simulated systems, we suggest that evolutionary developmental robotics is a natural next step to follow.
Erscheinungsjahr
2011
Buchtitel
Bio-Inspired Self-Organizing Robotic Systems
Serientitel
Studies in Computational Intelligence
Seite(n)
3-23
ISBN
978-3-642-20759-4
eISBN
978-3-642-20760-0
ISSN
1860-949X
eISSN
1860-9503
Page URI
https://pub.uni-bielefeld.de/record/2978596

Zitieren

Jin Y, Meng Y. Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In: Meng Y, Jin Y, eds. Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011: 3-23.
Jin, Y., & Meng, Y. (2011). Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In Y. Meng & Y. Jin (Eds.), Studies in Computational Intelligence. Bio-Inspired Self-Organizing Robotic Systems (pp. 3-23). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20760-0_1
Jin, Yaochu, and Meng, Yan. 2011. “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems”. In Bio-Inspired Self-Organizing Robotic Systems, ed. Yan Meng and Yaochu Jin, 3-23. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg.
Jin, Y., and Meng, Y. (2011). “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems” in Bio-Inspired Self-Organizing Robotic Systems, Meng, Y., and Jin, Y. eds. Studies in Computational Intelligence (Berlin, Heidelberg: Springer Berlin Heidelberg), 3-23.
Jin, Y., & Meng, Y., 2011. Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In Y. Meng & Y. Jin, eds. Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 3-23.
Y. Jin and Y. Meng, “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems”, Bio-Inspired Self-Organizing Robotic Systems, Y. Meng and Y. Jin, eds., Studies in Computational Intelligence, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.3-23.
Jin, Y., Meng, Y.: Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In: Meng, Y. and Jin, Y. (eds.) Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. p. 3-23. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
Jin, Yaochu, and Meng, Yan. “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems”. Bio-Inspired Self-Organizing Robotic Systems. Ed. Yan Meng and Yaochu Jin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Studies in Computational Intelligence. 3-23.

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