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02958nam a22005775i 4500 |
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978-3-540-77520-1 |
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DE-He213 |
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20151204164408.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540775201
|9 978-3-540-77520-1
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|a 10.1007/978-3-540-77520-1
|2 doi
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|d GrThAP
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|a TJ210.2-211.495
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|a T59.5
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|a TJFM1
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|a TEC037000
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|a 629.892
|2 23
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|a Milford, Michael John.
|e author.
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|a Robot Navigation from Nature
|h [electronic resource] :
|b Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models /
|c by Michael John Milford.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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|a XX, 196 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Springer Tracts in Advanced Robotics,
|x 1610-7438 ;
|v 41
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|a Mapping and Navigation -- Robotic Mapping Methods -- Biological Navigation Systems -- Emulating Nature: Models of Hippocampus -- Robotic or Bio-inspired: A Comparison -- Pilot Study of a Hippocampal Model -- RatSLAM: An Extended Hippocampal Model -- Goal Memory: A Pilot Study -- Extending RatSLAM: The Experience Mapping Algorithm -- Exploration, Goal Recall, and Adapting to Change -- Discussion.
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|a This book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. The aim of the work was to determine the extent to which hippocampal models can be used to provide a robot with functional mapping and navigation capabilities in real world environments. The focus of the research was on achieving practical robot performance, rather than maintaining biological plausibility.
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|a Engineering.
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|a Neurosciences.
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|a Artificial intelligence.
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|a System theory.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Automation.
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|a Engineering.
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|a Robotics and Automation.
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|a Control, Robotics, Mechatronics.
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|a Artificial Intelligence (incl. Robotics).
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|a Systems Theory, Control.
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|a Neurosciences.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783540775195
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830 |
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|a Springer Tracts in Advanced Robotics,
|x 1610-7438 ;
|v 41
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856 |
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|u http://dx.doi.org/10.1007/978-3-540-77520-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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