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Cluster Computing for Robotics and Computer Vision

Cluster Computing for Robotics and Computer Vision Cover

 

Synopses & Reviews

Synopsis:

In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, path planning, target tracking, action selection and learning, are reviewed and cluster implementations for these are presented.

The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.

Product Details

ISBN:
9789812836359
Publisher:
World Scientific Publishing Company
Subject:
Robotics
Author:
Lyons, Damian M.
Subject:
Machine Theory
Subject:
Artificial Intelligence - Fuzzy Logic
Subject:
Artificial Intelligence-Robotics
Publication Date:
20110931
Binding:
Hardcover
Language:
English
Pages:
200

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Artificial Intelligence » Robotics
Computers and Internet » Computers Reference » General
Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » General Medicine
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Materials Science » General

Cluster Computing for Robotics and Computer Vision
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Product details 200 pages World Scientific Publishing Company - English 9789812836359 Reviews:
"Synopsis" by , In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, path planning, target tracking, action selection and learning, are reviewed and cluster implementations for these are presented.

The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.

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