FUNDAMENTALS OF ROBOTICS: LINKING PERCEPTION TO ACTION (Machine Perception and Artificial Intelligence, 54)

Xie, Ming

ISBN 10: 9812383131 / ISBN 13: 9789812383136

Published by World Scientific Pub Co Inc, 2003

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Bibliographic Details

• Title: FUNDAMENTALS OF ROBOTICS: LINKING PERCEPTION TO ACTION (Machine Perception and Artificial Intelligence, 54)
• Publisher: World Scientific Pub Co Inc
• Publication Date: 2003
• Language: English
• ISBN 10: 9812383131
• ISBN 13: 9789812383136
• Binding: hardcover
• Condition: Very Good

About this title

Synopsis

Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the decisions. Not feeling well enough to go to the clinic? Let Dr Robot come to you, make a diagnosis, and get you the necessary medicine for treatment. No time to coach the soccer team this week? Let the robot do it for you.Tomorrow's robots will be the most exciting and revolutionary things to happen to the world since the invention of the automobile. It will change the way we work, play, think, and live. Because of this, nowadays robotics is one of the most dynamic fields of scientific research. These days, robotics is offered in almost every university in the world. Most mechanical engineering departments offer a similar course at both the undergraduate and graduate levels. And increasingly, many computer and electrical engineering departments are also offering it.This book will guide you, the curious beginner, from yesterday to tomorrow. The book will cover practical knowledge in understanding, developing, and using robots as versatile equipment to automate a variety of industrial processes or tasks. But, the book will also discuss the possibilities we can look forward to when we are capable of creating a vision-guided, learning machine.

From the Publisher

Readership: Upper-level undergraduates, graduates and researchers in robotics & automated systems, artificial intelligence, machine perception and computer vision.