Robot Learning by Visual Observation

<p><b>This book presents programming by demonstration for robot learning from observations with a focus on the trajectory level of task abstraction<br /><br /></b></p> <ul> <li>Discusses methods for optimization of task reproduction, such as reformulation of task planning as a constrained optimization problem</li> <li>Focuses on regression approaches, such as Gaussian mixture regression, spline regression, and locally weighted regression</li> <li>Concentrates on the use of vision sensors for capturing motions and actions during task demonstration by a human task expert</li> </ul>