Towards Biomimetic Neural Learning for Intelligent Robots

We present a brief overview of the chapters in this book that relate to the development of intelligent robotic systems that are inspired by neuroscience concepts. Firstly, we concentrate on the research of the MirrorBot project which focuses on biomimetic multimodal learning in a mirror neuron-based robot. This project has made significant developments in biologically inspired neaural models using inspiration from the mirror neuron system and modular cerebal cortex organisation of actions for use in an intelligent robot within an extended 'pick and place' type scenario. The hypothesis under investigation in the MirrorBot project is whether a mirror neuron-based cell assembly model can produce a life-like preception system for actions. Various models were developed based on principles such as cell assemblies, associative neural networks, and Hebbian-type learning in order to associate vision, language and motor concepts. Furthermore, we introduce the chapters of this book from other researchers who attend our AI-workshop on NeuroBotics.

@InCollection{WPWE05, 
 	 author =  {Wermter, Stefan and Palm, Günther and Weber, Cornelius and Elshaw, Mark I.},  
 	 title = {Towards Biomimetic Neural Learning for Intelligent Robots}, 
 	 booktitle = {Biomimetic Neural Learning for Intelligent Robots},
 	 editors = {Wermter, Stefan; Palm, Günther; Elshaw, Mark},
 	 number = {},
 	 volume = {},
 	 pages = {1--18},
 	 year = {2005},
 	 month = {Jan},
 	 publisher = {Springer},
 	 doi = {10.1007/11521082_1}, 
 }