Fundamentals Of Robotics: Linking Perception To Action

Fundamentals Of Robotics: Linking Perception To Action
Author :
Publisher : World Scientific Publishing Company
Total Pages : 718
Release :
ISBN-10 : 9789813102347
ISBN-13 : 9813102349
Rating : 4/5 (349 Downloads)

Book Synopsis Fundamentals Of Robotics: Linking Perception To Action by : Ming Xie

Download or read book Fundamentals Of Robotics: Linking Perception To Action written by Ming Xie and published by World Scientific Publishing Company. This book was released on 2003-04-11 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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