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Robot learning by visual observation / Aleksandar Vakanski, Farrokh Janabi-Sharifi.

By: Contributor(s): Material type: TextTextPublisher: Hoboken, New Jersey : Wiley, 2017Copyright date: ©2017Description: 1 online resource (211 pages) : color illustrations, photographsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119091998 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Robot learning by visual observation.DDC classification:
  • 629.8/92631 23
LOC classification:
  • TJ211.3 .V353 2017
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA10002053
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA10002053
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA10002053
Total holds: 0

Enhanced descriptions from Syndetics:

This book presents programming by demonstration for robot learning from observations with a focus on the trajectory level of task abstraction

Discusses methods for optimization of task reproduction, such as reformulation of task planning as a constrained optimization problem Focuses on regression approaches, such as Gaussian mixture regression, spline regression, and locally weighted regression Concentrates on the use of vision sensors for capturing motions and actions during task demonstration by a human task expert

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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