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Probabilistic approaches for robotic perception

Author: João Filipe Ferreira; Jorge Dias
Publisher: Cham ; New York : Springer, ©2014.
Series: Springer tracts in advanced robotics, v. 91.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic  Read more...
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Document Type: Book
All Authors / Contributors: João Filipe Ferreira; Jorge Dias
ISBN: 9783319020051 3319020056
OCLC Number: 867715794
Description: xxv, 242 pages : illustrations (some color) ; 24 cm.
Contents: Probabilistic Modelling for Robotic Perception.- Probabilistic Approaches for Robotic Perception in Practice.
Series Title: Springer tracts in advanced robotics, v. 91.
Responsibility: João Filipe Ferreira, Jorge Dias.

Abstract:

In this book, the application of Bayesian models are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of  Read more...

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