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

Nyckelord: Robot learning; task abstraction; observational learning problem; hidden Markov models; conditional random fields; Gaussian mixture models; dynamic motion primitives; task reproduction; vision-based robot control; spline regression; locally weighted regression; vision sensors, Sensors, Instrumentation & Measurement, Sensors, Instrumentation & Measurement