Robot Navigation from Nature : Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models /
By: Milford, Michael John [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Springer Tracts in Advanced Robotics: 41Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: XX, 196 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540775201.Subject(s): Engineering | Neurosciences | Artificial intelligence | System theory | Control engineering | Robotics | Mechatronics | Automation | Engineering | Robotics and Automation | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Systems Theory, Control | NeurosciencesDDC classification: 629.892 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
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PK Kelkar Library, IIT Kanpur | Available | EBK852 |
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.
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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