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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vakanski, Aleksandar (Autor), Janabi-Sharifi, Farrokh, 1959- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc., [2017]
Temas:
Robot vision.
Machine learning.
Robots > Control systems.
Automatic programming (Computer science)
Vision artificielle (Robotique)
Apprentissage automatique.
Robots > Systèmes de commande.
Programmation automatique.
TECHNOLOGY & ENGINEERING > Engineering (General)
Machine learning
Robot vision
Robots > Control systems
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xiii, 194 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781119091998
1119091993
9781119091882
1119091888

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