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Spatial Representation and Reasoning for Robot Mapping : A Shape-Based Approach /

By: Wolter, Diedrich [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Tracts in Advanced Robotics: 48Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: XIX, 188 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540690122.Subject(s): Engineering | Artificial intelligence | System theory | Control engineering | Robotics | Mechatronics | Automation | Cognitive psychology | Engineering | Robotics and Automation | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Systems Theory, Control | Cognitive PsychologyDDC classification: 629.892 Online resources: Click here to access online
Contents:
Spatial Representations for Mapping -- A Functional Analysis of Robot Mapping -- Homomorphic Matching in Balanced Hypergraphs -- Shape-Based Incremental Mapping -- Evaluation -- Conclusion and Outlook.
In: Springer eBooksSummary: This book addresses spatial representations and reasoning techniques for mobile robot mapping, providing an analysis of fundamental representations and processes involved. A spatial representation based on shape information is proposed and shape analysis techniques are developed to tackle the correspondence problem in robot mapping. A general mathematical formulation is presented to provide the formal ground for an efficient matching of configurations of objects.
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E books E books PK Kelkar Library, IIT Kanpur
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Spatial Representations for Mapping -- A Functional Analysis of Robot Mapping -- Homomorphic Matching in Balanced Hypergraphs -- Shape-Based Incremental Mapping -- Evaluation -- Conclusion and Outlook.

This book addresses spatial representations and reasoning techniques for mobile robot mapping, providing an analysis of fundamental representations and processes involved. A spatial representation based on shape information is proposed and shape analysis techniques are developed to tackle the correspondence problem in robot mapping. A general mathematical formulation is presented to provide the formal ground for an efficient matching of configurations of objects.

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