Neural Network Architecture for Cognitive Navigation in Dynamic Environments

Navigation in time-evolving environments with moving targets and obstacles requires cognitive abilities widely demonstrated by even simplest animals. However, it is a long-standing challenging problem for artificial agents. Cognitive autonomous robots coping with this problem must solve two essentia...

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Bibliographic Details
Published in:	IEEE transaction on neural networks and learning systems Vol. 24; no. 12; pp. 2075 - 2087
Main Authors:	Villacorta-Atienza, Jose Antonio, Makarov, Valeri A.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.12.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Animals Applied sciences Artificial intelligence Biological neural networks Biomimetics - methods Cognition Cognition - physiology Cognitive ability cognitive maps Computer science; control theory; systems Connectionism. Neural networks Control theory. Systems Decision Support Techniques dynamical systems Exact sciences and technology Humans internal representation Motion Navigation Neural networks Neural Networks (Computer) Pattern Recognition, Automated - methods Robot sensing systems Robotics Robotics - methods Robots Shape Spatial Navigation Training Trajectory Autonomous system Closed loop Obstacle Moving target Navigation cognitive maps Mental representation Moving robot Decision making Cognitive ability neural networks Network architecture internal representation Cognition Neural network Dynamical system Robotics Cognitive map Cognitive theory dynamical systems Uncertain system Animal Information structure
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
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