Ontology type: schema:Chapter
2010
AUTHORSCyril Hasson , Philippe Gaussier
ABSTRACTBiologically inspired models for navigation use mechanisms like path integration or sensori-motor learning. This paper describes the use of a proprioceptive working memory to give path integration the potential to store several goals. Then we coupled the path integration working memory to place cell sensori-motor learning to test the potential autonomy this gives to the robot. This navigation architecture intends to combine the benefits of both strategies in order to overcome their drawbacks. The robot uses a low level motivational system based on a simulated physiology. Experimental evaluation is done with a robot in a real environment performing a multi goal navigation task. More... »
PAGES380-389
From Animals to Animats 11
ISBN
978-3-642-15192-7
978-3-642-15193-4
http://scigraph.springernature.com/pub.10.1007/978-3-642-15193-4_36
DOIhttp://dx.doi.org/10.1007/978-3-642-15193-4_36
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