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Mapping, Planning and Exploration with Pose SLAM (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R3,382
Discovery Miles 33 820
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Mapping, Planning and Exploration with Pose SLAM (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Springer Tracts in Advanced Robotics, 119
Expected to ship within 10 - 15 working days
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This monograph introduces a unifying framework for mapping,
planning and exploration with mobile robots considering
uncertainty, linking such problems with a common SLAM approach,
adopting Pose SLAM as the basic state estimation machinery. Pose
SLAM is the variant of SLAM where only the robot trajectory is
estimated and where landmarks are used to produce relative motion
measurements between robot poses. With regards to extending the
original Pose SLAM formulation, this monograph covers the study of
such measurements when they are obtained with stereo cameras,
develops the appropriate noise propagation models for such case,
extends the Pose SLAM formulation to SE(3), introduces
information-theoretic loop closure tests, and presents a technique
to compute traversability maps from the 3D volumetric maps obtained
with Pose SLAM. A relevant topic covered in this monograph is the
introduction of a novel path planning approach that exploits the
modeled uncertainties in Pose SLAM to search for the path in the
pose graph that allows the robot to navigate to a given goal with
the least probability of becoming lost. Another relevant topic is
the introduction of an autonomous exploration method that selects
the appropriate actions to drive the robot so as to maximize
coverage, while minimizing localization and map uncertainties. This
monograph is appropriate for readers interested in an
information-theoretic unified perspective to the SLAM, path
planning and exploration problems, and is a reference book for
people who work in mobile robotics research in general.
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