Name: Mapping, Planning and Exploration With Pose Slam (Springer Tracts in Advanced Robotics) (en Inglés)
Price: 584313.00 COP
Availability: InStock
Author: Rafael Valencia; Juan Andrade-Cetto
ISBN: 9783319606026

portada Mapping, Planning and Exploration With Pose Slam (Springer Tracts in Advanced Robotics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Rafael Valencia; Juan Andrade-Cetto

Año

2017

Idioma

Inglés

N° páginas

114

Encuadernación

Tapa Dura

ISBN13

9783319606026

N° edición

Categorías

Inteligencia artificial

Mapping, Planning and Exploration With Pose Slam (Springer Tracts in Advanced Robotics) (en Inglés)

Rafael Valencia; Juan Andrade-Cetto (Autor) · Springer · Tapa Dura

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Reseña del libro "Mapping, Planning and Exploration With Pose Slam (Springer Tracts in Advanced Robotics) (en Inglés)"

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.