Overview
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.
Full Product Details
Author: Yasser Mohammad ,
Toyoaki Nishida
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: 1st ed. 2015
Dimensions:
Width: 15.50cm
, Height: 2.10cm
, Length: 23.50cm
Weight: 6.328kg
ISBN: 9783319252308
ISBN 10: 3319252305
Pages: 328
Publication Date: 10 February 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
“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)
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)
