Adaptive Action Selection Mechanisms for Evolutionary Multimodular Robotics

Adaptive Action Selection Mechanisms for Evolutionary Multimodular Robotics

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by Serge Kernbach , Thomas Schmickl , Heiko Hamann , Jürgen Stradner , Christopher S. F. Schwarzer , Florian Schlachter , Alan F. T. Winfield , Rene Matthias

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Datum	Value	Source
TITLE	Adaptive Action Selection Mechanisms for Evolutionary Multimodular Robotics	SVM HeaderParse 0.2
AUTHOR NAME	Serge Kernbach	SVM HeaderParse 0.2
AUTHOR AFFIL	1; University of Stuttgart, Germany;; 2	SVM HeaderParse 0.2
AUTHOR NAME	Thomas Schmickl	SVM HeaderParse 0.2
AUTHOR NAME	Heiko Hamann	SVM HeaderParse 0.2
AUTHOR NAME	Jürgen Stradner	SVM HeaderParse 0.2
AUTHOR NAME	Christopher S. F. Schwarzer	SVM HeaderParse 0.2
AUTHOR NAME	Florian Schlachter	SVM HeaderParse 0.2
AUTHOR NAME	Alan F. T. Winfield	SVM HeaderParse 0.2
AUTHOR NAME	Rene Matthias	SVM HeaderParse 0.2
AUTHOR AFFIL	4; Bristol Robotics Laboratory (BRL), UWE Bristol, UK;; 5; Karlsruhe Institute of Technology	SVM HeaderParse 0.2
AUTHOR ADDR	Germany	SVM HeaderParse 0.2
ABSTRACT	This paper focuses on the well-known problem in behavioral robotics – “what to do next”. The problem addressed here lies in the selection of one activity to be executed from multiple regulative, homeostatic and developmental processes running onboard a reconfigurable multi-robot organism. We consider adaptive hardware and software frameworks and argue the non-triviality of action selection for evolutionary robotics. The paper overviews several deliberative, evolutionary and bio-inspired approaches for such an adaptive action selection mechanism.	SVM HeaderParse 0.2
CITATIONS	19 found	ParsCit 1.0