Robot Learning by Visual Observation

Robot Learning by Visual Observation
Robot Learning by Visual Observation is published by in February 2017. This book has 208 pages in English, ISBN-13 978-1119091806.

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

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