Detailansicht
Robot Learning by Visual Observation
eBook
ISBN/EAN: 9781119091998
Umbreit-Nr.: 4342186
Sprache:
Englisch
Umfang: 208 S., 12.86 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 13.01.2017
Auflage: 1/2017
E-Book
Format: EPUB
DRM: Adobe DRM
- Zusatztext
- <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>
- Kurztext
- 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
- Autorenportrait
- <p><b>ALEKSANDAR VAKANSKI</b> is a Clinical Assistant Professor in Industrial Technology at the University of Idaho, Idaho Falls, USA. He received a Ph.D. degree from the Department of Mechanical and Industrial Engineering at Ryerson University, Toronto, Canada, in 2013. The scope of his research interests encompasses the fields of robotics and mechatronics, artificial intelligence, computer vision, and control systems.</p><p><b>FARROKH JANABI-SHARIFI</b> is a Professor of Mechanical and Industrial Engineering and the Director of Robotics, Mechatronics and Automation Laboratory (RMAL) at Ryerson University, Toronto, Canada. He is currently a Technical Editor of<i>IEEE/ASME Transactions on Mechatronics</i>, an Associate Editor of<i>The International Journal of Optomechatronics</i>, and an Editorial Member of<i>The Journal of Robotics</i> and<i>The Open Cybernetics and Systematics Journal</i>. His research interests include optomechatronic systems with the focus on image-guided control and planning.