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

Table of Contents

Chapter 1 Introduction
Chapter 2 Task Perception
Chapter 3 Task Representation
Chapter 4 Task Modeling
Chapter 5 Task Planning
Chapter 6 Task Execution