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Mobile Robot Localization and Map Building

Name: Mobile Robot Localization and Map Building
Brand: Springer
SKU: 9780792377894
Price: 149.73 EUR
Availability: InStock

A Multisensor Fusion Approach

Autor: Jose A. Castellanos, Juan D. Tardós

Jazyk:

Väzba: Pevná

Vydavateľ: Springer

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

149.73 €

During the last decade, many researchers have dedicated their efforts to constructing revolutionary...

Informácie o knihe

Autor

Jose A. Castellanos, Juan D. Tardós

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2000

Stránok

205

EAN

9780792377894

ISBN

0792377893

Enbook ID

01397254

Vydavateľ

Springer

Hmotnosť

488

Rozmery

161 x 239 x 20

Kompletný popis

During the last decade, many researchers have dedicated their efforts to constructing revolutionary machines and to providing them with forms of artificial intelligence to perform some of the most hazardous, risky or monotonous tasks historically assigned to human beings. Among those machines, mobile robots are undoubtedly at the cutting edge of current research directions. A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots. The most common motion mechanism for surface mobile robots is the wheel-based mechanism, adapted both to flat surfaces, found in human-made environments, and to rough terrain, found in outdoor environments. However, some researchers have reported successful developments with leg-based mobile robots capable of climbing up stairs, although they require further investigation. The research work presented here focuses on wheel-based mobile robots that navigate in human-made indoor environments. The main problems described throughout this book are: Representation and integration of uncertain geometric information by means of the Symmetries and Perturbations Model (SPmodel). This model combines the use of probability theory to represent the imprecision in the location of a geometric element, and the theory of symmetries to represent the partiality due to characteristics of each type of geometric element. A solution to the first location problem, that is, the computation of an estimation for the mobile robot location when the vehicle is completely lost in the environment. The problem is formulated as a search in an interpretation tree using efficient matching algorithms and geometric constraints to reduce the size of the solution space. The book proposes a new probabilistic framework adapted to the problem of simultaneous localization and map building for mobile robots: the Symmetries and Perturbations Map (SPmap). This framework has been experimentally validated by a complete experiment which profited from ground-truth to accurately validate the precision and the appropriateness of the approach. The book emphasizes the generality of the solutions proposed to the different problems and their independence with respect to the exteroceptive sensors mounted on the mobile robot. Theoretical results are complemented by real experiments, where the use of multisensor-based approaches is highlighted.

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Mobile Robot Localization and Map Building

A Multisensor Fusion Approach

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