Robotic Mapping and Exploration (Paperback, Softcover reprint of hardcover 1st ed. 2009)


"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.

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Product Description

"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Springer Tracts in Advanced Robotics, 55

Release date

October 2010

Availability

Expected to ship within 15 - 20 working days

First published

2009

Authors

Dimensions

235 x 155 x 11mm (L x W x T)

Format

Paperback

Pages

198

Edition

Softcover reprint of hardcover 1st ed. 2009

ISBN-13

978-3-642-10168-7

Barcode

9783642101687

Categories

LSN

3-642-10168-2



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