Robot Navigation from Nature Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models /

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. T...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Milford, Michael John (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Springer Tracts in Advanced Robotics, 41
Temas:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
System theory.
Control theory.
Neurosciences.
Control, Robotics, Automation.
Artificial Intelligence.
Systems Theory, Control .
Neuroscience.
Acceso en línea:Texto Completo

MARC

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245 1 0 |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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300 |a XX, 196 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |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. 
520 |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. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 0 |a System theory. 
650 0 |a Control theory. 
650 0 |a Neurosciences. 
650 1 4 |a Control, Robotics, Automation. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Systems Theory, Control . 
650 2 4 |a Neuroscience. 
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830 0 |a Springer Tracts in Advanced Robotics,  |x 1610-742X ;  |v 41 
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950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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