Login

Janabi-Sharifi, Farrokh

Robot Learning by Visual Observation

Janabi-Sharifi, Farrokh - Robot Learning by Visual Observation, ebook

127,40€

Ebook, ePUB with Adobe DRM
ISBN: 9781119091998
DRM Restrictions

Printing62 pages with an additional page accrued every 12 hours, capped at 62 pages
Copy to clipboard5 excerpts

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

Keywords: Robot learning; task abstraction; observational learning problem; hidden Markov models; conditional random fields; Gaussian mixture models; dynamic motion primitives; task reproduction; vision-based robot control; spline regression; locally weighted regression; vision sensors, Sensors, Instrumentation & Measurement, Sensors, Instrumentation & Measurement

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2017
Language
en
Edition
1
Page amount
208 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781119091998
Printed ISBN
9781119091806

Similar titles