Data mining for social robotics : toward autonomously social robots / Yasser Mohammad, Toyoaki Nishida.

Data mining for social robotics : toward autonomously social robots /

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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 rob...

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Bibliographic Details
Main Authors: Mohammad, Yasser (Author), Nishida, T. (Toyoaki) (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer, 2015.
Series:Advanced information and knowledge processing,
Subjects:
Data mining.
Autonomous robots.
Robotics.
Data Mining
Robotics
artificial intelligence.
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Table of Contents:
  • 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.

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