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Brain-Like Robotics

  • Richard J. Duro
  • Francisco Bellas
  • José A. Becerra Permuy

Abstract

This chapter aims to provide an overview of what is happening in the field of brain like robotics, what the main issues are and how they are being addressed by different authors. It starts by introducing several concepts and theories on the evolution and operation of the brain and provides a basic biological and operational framework as background to contextualize the topic. Building on these foundations, the main body of the chapter is devoted to the different contributions within the robotics community that use brain-like models as a source of inspiration for controlling real robots. These contributions are addressed from two perspectives. On one hand the main cognitive architectures developed under a more or less strict brain-like point of view are presented, offering a brief description of each architecture as well as highlighting some of their main contributions. Then the point of view is changed and a more extensive review is provided of what is being done within three areas that we consider key for the future development of autonomous brain-like robotic creatures that can live and work in human environments interacting with other robots and human beings. These are: Memory, Attention and Emotions. This review is followed by a description of some of the current projects that are being carried out or have recently finished within this field as well as of some robotic platforms that are currently being used. The chapter is heavily referenced in the hope that this extensive compilation of papers and books from the different areas that are relevant within the field are useful for the reader to really appreciate its breadth and beauty.

Keywords

Episodic Memory Action Selection Humanoid Robot Attentional System Cognitive Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Abbreviations

3-D

three-dimensional

AI

artificial intelligence

ANN

artificial neural network

BBD

brain-based device

BLR

brain-like robotics

CDR

cognitive developmental robotics

ERA

epigenetic robotics architecture

FOA

focus of attention

IAC

intelligent adaptive Curiosity

IHDR

incremental hierarchical discriminant regression

IM

images line

IMA

intelligent machine architecture

IOR

inhibition of return

IT

infero temporal cortex

LGN

lateral geniculate nucleus

LTM

long-term memory

MDB

multi-level Darwinist brain

MDP

Markov decision process

MT

middle temporal cortex

PP

posterior parietal cortex

SASE

self-aware and self-effecting architecture

SM

sensory memory

SOM

self-organizing map

STM

short-term memory

VF

visual field

WTA

winner-take-all

pSNN

probabilistic spiking neural network

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Copyright information

© Springer-Verlag 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversidade da CoruñaFerrolSpain
  2. 2.Escola Politecnica Superior, Department of Computer ScienceUniversidade da CoruñaFerrolSpain
  3. 3.Department of Computer ScienceUniversity of A CoruñaFerrolSpain

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