Robot Learning by Visual Observation

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