Robot Learning by Visual Observation
English
By (author): Aleksandar Vakanski Farrokh Janabi-Sharifi
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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