Robot Learning by Visual Observation is published by Wiley 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