دانلود کتاب بینایی رباتیک از یادگیری عمیق تا سیستم‌های خودگردان

This book has been drafted based on my lectures and seminars in recent years for postgraduate students at Auckland University of Technology (AUT), New Zealand. We have integrated and synthesized materials on robotics, machine vision, machine intelligence, and deep learning. Compared with conventional books, this book leads authors to use the knowledge from digital image processing and computer vision to control robots with autonomous systems. Our aim is to provide a resource that benefits postgraduate students, particularly those who are working on their theses, by sharing our research outputs and teaching work to augment their projects. In this book, we have structured the content with a focus on knowledge obtained from our seminars. We begin by explaining fundamental concepts in robotics from computational point of view. We delve into robotic vision with deep learning methods. We add new content from what we have known and applied robotic vision to robotic control. At the end of each chapter, we emphasize on the practical implementation of algorithms by using Pythonbased platforms and MATLAB toolboxes. Additionally, we provide a lab session for each chapter with demonstrations and experiment reporting as well as a list of questions for the purpose of discussion and reflection. In this book, our focus is on robotic vision. The book is to follow our research methodology of computer science with mathematical background, modeling, algorithms, experimental implementation, result analysis, and comparisons. Before reading this book, we strongly encourage our readers to have a solid foundation in postgraduate mathematics. Developing computational knowledge will not only aid readers to quickly understand this book but also enable them to engage with relevant journal articles and conference papers. This book was written for research students, computer engineers, computer scientists, and anyone interested in robotic vision for both theoretical research and practical applications. Additionally, it is relevant for researchers in the fields such as machine intelligence, pattern analysis, and control theory.