1. Yasser Mohammad, Imitation in Robotics, in preparation to appear from CRS Press in 2019 (contract signed)
  2. Yasser Mohammad and Toyoaki Nishida, Data Mining for Social Robotics, in preparation to appear from Springer in early 2016, ISBN 978-3-319-25230-8 [springer].
  3. Nishida, A. Nakazawa, Y. Ohmoto, Y. Mohammad, Converstional Informatics: A data intensive approach with emphasis on Nonverbal Communication, Springer 2014, ISBN 978-4431550396 [springer | amazon] downloaded 873 times in 2015

Imitation In Robotics (~2019)

Author: Yasser Mohammad

Summary: The book discusses imitation learning as applied to robotic systems. Imitation is one of the most important learning mechanisms in humans and relevant research has a long and nuanced history spanning ethology, psychology, social sciences and more recently robotics and artificial intelligence. This book provides an introduction to the most recent results in all of these fields and ties these results together in a general overview of imitation as a learning mechanism. Given these results, the book explores more deeply recent results in imitation as a method for endowing robots with an easy-to-use skill transfer ability.

Data Mining For Social Robotics (2015)

Author Yasser Mohammad and Toyoaki Nishida

Summary 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.

Conversational Informatics: A Data-Intensive Approach (2014)

Author: T. Nishida, A. Nakazawa, Y. Ohmoto, and Yasser Mohammad

Summary: This book covers an approach to conversational informatics which encompasses science and technology for understanding and augmenting conversation in the network age. A major challenge in engineering is to develop a technology for conveying not just messages but also underlying wisdom. Relevant theories and practices in cognitive linguistics and communication science, as well as techniques developed in computational linguistics and artificial intelligence, are discussed.