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Data Mining for Social Robotics

Toward Autonomously Social Robots
Buch | Hardcover
XII, 328 Seiten
2016 | 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-25230-8 (ISBN)

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Data Mining for Social Robotics - 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.  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 graduate students and practitioners interested in social and developmental robotics.

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)

Erscheinungsdatum
Reihe/Serie Advanced Information and Knowledge Processing
Zusatzinfo XII, 328 p. 74 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte artificial intelligence (incl. robotics) • Change Point Discovery • Computer Science • Constrained Motif Discovery • Data Mining • data mining and knowledge discovery • human robot interaction • imitation learning • social robotics
ISBN-10 3-319-25230-5 / 3319252305
ISBN-13 978-3-319-25230-8 / 9783319252308
Zustand Neuware
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