Overview
- Recent research in the area of self-localization and mapping (SLAM) for autonomous robots
- The presented solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments.
- accompanied by a rich set of experiments
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 55)
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About this book
"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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Keywords
Table of contents (11 chapters)
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Front Matter
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Introduction
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Part I: Exploration with Known Poses
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Front Matter
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Part II: Mapping and Exploration under Pose Uncertainty
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Robotic Mapping and Exploration
Authors: Cyrill Stachniss
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-642-01097-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-01096-5Published: 27 April 2009
Softcover ISBN: 978-3-642-10168-7Published: 22 October 2010
eBook ISBN: 978-3-642-01097-2Published: 06 May 2009
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XVIII, 198
Topics: Robotics and Automation, Artificial Intelligence, Control, Robotics, Mechatronics, Systems Theory, Control