Imitation in Robotics
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Imitation in Robotics

Imitation in Robotics


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About the Book

Imitation underlies our culture, language, and feelings, and robotic imitation has social aspects that are usually ignored. However, roboticists are now starting to understand the power of imitation learning, utilizing animal and human imitation as inspiration. This book provides a reference to state-of-the-art techniques in imitation, demonstration learning, and apprenticeship learning. Recent case studies are given to help the reader appreciate the subtleties of each outlined technique and provide a starting point for new ideas and algorithms. The book is supported by a MATLAB toolbox that provides full implementation of most of the algorithms discussed for a hands-on learning approach.

About the Author :
Yasser Mohammad received his Ph.D. in Computers and Systems from Kyoto University, Japan in 2009 and is a tenured Assistant Professor at Assiut University, Egypt. He is the author of over 70 papers in international journals and conferences in the areas of robotics, HRI, and data mining. From 2012 to 2014, he was a JSPS post-doctoral fellow at Kyoto University. He is a senior member of IEEE and a member of IEEE RAS, ICROS, and ISAI. He is an editorial board member of New Generation Computing, a member of the reviewer board of Applied Intelligence, and a reviewer for several international journals including AI&Society, Social Robotics, TiiS, and IJARS.


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Product Details
  • ISBN-13: 9781351640657
  • Publisher: CRC Press
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1351640658
  • Publisher Date: 12 Oct 2020
  • Binding: Digital (delivered electronically)
  • No of Pages: 225


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