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Robot Learning by Visual Observation (Hardcover) (Aleksandar Vakanski & Farrokh Janabi-sharifi)

Robot Learning by Visual Observation (Hardcover) (Aleksandar Vakanski & Farrokh Janabi-sharifi) - image 1 of 1

About this item

The book presents the methodology for robot learning from observations. The focus of the book is on trajectory level of task abstraction. The content is divided into several chapters, with each chapter addressing the methods for tackling individual steps in the observational learning problem. The book describes several methods for mathematical modelling of observed trajectories, such as hidden Markov models, conditional random fields, Gaussian mixture models, and dynamic motion primitives. Methods for generalization of the demonstrated trajectories and for generation of a trajectory for task reproduction are presented. Furthermore, the authors describe methodology for robust execution of generated plans for task reproduction, which employs vision based robot control.

Number of Pages: 194
Genre: Technology
Format: Hardcover
Publisher: John Wiley & Sons Inc
Author: Aleksandar Vakanski & Farrokh Janabi-sharifi
Language: English
Street Date: February 13, 2017
TCIN: 51702367
UPC: 9781119091806
Item Number (DPCI): 248-29-2833
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