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Titlebook: Data Mining for Social Robotics; Toward Autonomously Yasser Mohammad,Toyoaki Nishida Book 2015 Springer International Publishing Switzerla

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發(fā)表于 2025-3-21 19:07:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Mining for Social Robotics
副標(biāo)題Toward Autonomously
編輯Yasser Mohammad,Toyoaki Nishida
視頻videohttp://file.papertrans.cn/263/262954/262954.mp4
概述Reviews the key recent research in social robotics, learning from demonstration and imitation.Offers a detailed explanation of key algorithms in change discovery, motif discovery and causality analysi
叢書名稱Advanced Information and Knowledge Processing
圖書封面Titlebook: Data Mining for Social Robotics; Toward Autonomously  Yasser Mohammad,Toyoaki Nishida Book 2015 Springer International Publishing Switzerla
描述.This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining.? The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning. ..The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. ?Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.? ..Data Mining for Social Robots. will be essential reading for gra
出版日期Book 2015
關(guān)鍵詞Change Point Discovery; Constrained Motif Discovery; Human Robot Interaction; Imitation Learning; Social
版次1
doihttps://doi.org/10.1007/978-3-319-25232-2
isbn_softcover978-3-319-79755-7
isbn_ebook978-3-319-25232-2Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-21 22:10:45 | 只看該作者
Book 2015ch. ?Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.? ..Data Mining for Social Robots. will be essential reading for gra
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https://doi.org/10.1007/978-3-319-25232-2Change Point Discovery; Constrained Motif Discovery; Human Robot Interaction; Imitation Learning; Social
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978-3-319-79755-7Springer International Publishing Switzerland 2015
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The Embodied Interactive Control Architecturecal social embodiment. EICA has two components: a general behavioral robotic architecture with a flexible action integration mechanism upon which interaction protocol learning to support autonomous sociality is implemented.
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Commentar zur Pharmacopoea GermanicaHow to create a social robot that people do not only . but relate to? This book is an attempt to answer this question and will advocate using the same approach used by infants to grow into social beings: developing natural interaction capacity autonomously.
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