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

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Introduction,How 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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Change Point DiscoveryChange point discovery (CPD) is one of the most relied upon technologies in this book.

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Motif DiscoveryA recurring problem in the second part of this book is the problem of discovering recurrent patterns in long multidimensional time-series. This chapter introduces some of the algorithms that can be employed in solving this kind of problems for both discrete and continuous time-series.

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Introduction to Social RoboticsSocial robotics is an exciting field with too many research threads within which interesting new developments appear every year. It is very hard to summarize what a field as varied and interdisciplinary as social robotics is targeting but we can distinguish two main research directions within the field.

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Canary

Theoretical FoundationsResearch in HRI focuses on the social aspect of the robot while intelligent robotics research strives to achieve the smartest possible autonomous robot. We argue in this chapter that realizing sociability and realizing autonomy are not two independent directions of research but are interrelated aspects of the robot design.

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Interaction Learning Through ImitationIn Chap.?. we presented an overview of proposed architecture and detailed how can it generate behavior given that the intentions and processes involved are already available.