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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Semantic Labeling of Places with Mobile Robots (Hardcover, 2010 ed.) Loot Price: R2,961
Discovery Miles 29 610
Semantic Labeling of Places with Mobile Robots (Hardcover, 2010 ed.): Oscar Martinez Mozos

Semantic Labeling of Places with Mobile Robots (Hardcover, 2010 ed.)

Oscar Martinez Mozos

Series: Springer Tracts in Advanced Robotics, 61

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Loot Price R2,961 Discovery Miles 29 610 | Repayment Terms: R277 pm x 12*

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During the last years there has been an increasing interest in the area of service robots. Under this category we find robots working in tasks such as elderly care, guiding, office and domestic assistance, inspection, and many more. Service robots usually work in indoor environments designed for humans, with offices and houses being some of the most typical examples. These environments are typically divided into places with different functionalities like corridors, rooms or doorways. The ability to learn such semantic categories from sensor data enables a mobile robot to extend its representation of the environment, and to improve its capabilities. As an example, natural language terms like corridor or room can be used to indicate the position of the robot in a more intuitive way when communicating with humans. This book presents several approaches to enable a mobile robot to categorize places in indoor environments. The categories are indicated by terms which represent the different regions in these environments. The objective of this work is to enable mobile robots to perceive the spatial divisions in indoor environments in a similar way as people do. This is an interesting step forward to the problem of moving the perception of robots closer to the perception of humans. Many approaches introduced in this book come from the area of pattern recognition and classification. The applied methods have been adapted to solve the specific problem of place recognition. In this regard, this work is a useful reference to students and researchers who want to introduce classification techniques to help solve similar problems in mobile robotics.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Tracts in Advanced Robotics, 61
Release date: February 2010
First published: 2010
Authors: Oscar Martinez Mozos
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Hardcover
Pages: 138
Edition: 2010 ed.
ISBN-13: 978-3-642-11209-6
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-642-11209-9
Barcode: 9783642112096

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