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| Full Title | Robot Learning by Visual Observation 1st Edition |
|---|---|
| Author(s) | Aleksandar Vakanski, Farrokh Janabi-Sharifi |
| Edition | 1st Edition |
| ISBN | 9781119091998, 9781119091806, 9781119091882 |
| Publisher | Wiley-Blackwell |
| Format | PDF and EPUB |
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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