Data Mining for Social Robotics

Toward Autonomously Social Robots

Inbunden, Engelska, 2016

Av Yasser Mohammad, Toyoaki Nishida

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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.

Produktinformation

Utgivningsdatum2016-02-10
Mått155 x 235 x 24 mm
Vikt676 g
FormatInbunden
SpråkEngelska
SerieAdvanced Information and Knowledge Processing
Antal sidor328
Upplaga16001
FörlagSpringer International Publishing AG
ISBN9783319252308

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it

Preface.- Introduction.- Part I: Time Series Mining.- Mining Time-Series Data.- Change Point Discovery.- Motif Discovery.- Causality Analysis.- Part II: Autonomously Social Robots.- Introduction to Social Robotics.- Imitation and Social Robotics.- Theoretical Foundations.- The Embodied Interactive Control Architecture.- Interacting Naturally.- Interaction Learning through Imitation.- Fluid Imitation.- Learning through Demonstration.- Conclusion.- Index.

"This comprehensive work focuses on human-robot interaction (HRI) using data mining and time series analysis. ... In general, this book includes rich knowledge in social robot study using data mining tools. ... It's a nice book for graduate students and practitioners to dive deeper into HRI. Personally, this book led me to rethink the learning processes and interaction manners of humans, which is a rather interesting journey." (Feng Yu, Computing Reviews, March, 2017)