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    Advances in Intelligent Robotics and Collaborative Automation

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    Contributor(s)
    Duro, Richard (editor)
    Kondratenko, Yuriy (editor)
    Language
    English
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    Abstract
    This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.
    URI
    https://library.oapen.org/handle/20.500.12657/59724
    Keywords
    Energy; Robotics; Communications engineering / telecommunications
    DOI
    10.1201/9781003337119
    ISBN
    9781000795332, 9781003337119, 9788793237032, 9781000795332
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2015
    Imprint
    River Publishers
    Classification
    Energy
    Robotics
    Communications engineering / telecommunications
    Pages
    364
    Rights
    http://creativecommons.org/licenses/by-nc/4.0
    • Imported or submitted locally

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    Credits

    • logo Scoss
    • logo EU
    • logo Scoss
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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