Imitation in Robotics

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.

Introduction. Imitation: The Opportunity and the Challenge. Imitation in Animals and Humans. Challenges of Imitation in Robotics. Tackling the Correspondence Problem. Action Segmentation and Significance Estimation. Evaluation and Fluid Imitation. Modeling Demonstrations. Inverse Optimal Control. Inverse Reinforcement Learning. Dynamic Motor Primitives. HMM Approaches. Gaussian Mixture Approaches. Gaussian Processes for LfD. Symbolization and Other Approaches.