Robot Learning by Visual Observation
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Beschreibung
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
Autor*in
Aleksandar Vakanski
Themen in »Robot Learning by Visual Observation«
Electrical & Electronics Engineering Elektrotechnik u. Elektronik Robotics Robotik Sensoren, Instrumente u. Messung Sensors, Instrumentation & Measurement