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Data Mining for Social Robotics

Toward Autonomously Social Robots

Yasser Mohammad; Toyoaki Nishida

978-3-319-25232-2

2015
Edition 1
- Reviews the key recent research in social robotics, learning from demonstration and imitation
- Offers a detailed explanation of key algorithms in change discovery, motif discovery and causality analysis
- Illustrates in detail the design methodology for developing social robots using a novel developmental architecture that employs only unsupervised learning techniques to achieve autonomous sociability
- Includes case studies in applying time-series analysis and data mining techniques to several problems in Human-Robot Interaction with an open-source MATLAB toolbox implementing the key algorithms
- Includes supplementary material: sn.pub/extras
€180

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