Skip to main content
Book cover

Advanced Technologies in Modern Robotic Applications

  • Book
  • © 2016

Overview

  • Demonstrate a comprehensive knowledge of technologies in modern robot applications
  • Consolidate knowledge and extend skills of robotic researchers
  • Expose the readers to the very forefront of robotics research
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

Keywords

About this book

This book presents in a systematic manner the advanced technologies used for various modern robot applications. By bringing fresh ideas, new concepts, novel methods and tools into robot control, robot vision, human robot interaction, teleoperation of robot and multiple robots system, we are to provide a state-of-the-art and comprehensive treatment of the advanced technologies for a wide range of robotic applications. Particularly, we focus on the topics of advanced control and obstacle avoidance techniques for robot to deal with unknown perturbations, of visual servoing techniques which enable robot to autonomously operate in a dynamic environment, and of advanced techniques involved in human robot interaction. The book is primarily intended for researchers and engineers in the robotic and control community. It can also serve as complementary reading for robotics at the both graduate and undergraduate levels.

Authors and Affiliations

  • South China University of Technology, Guangzhou, China

    Chenguang Yang

  • Beijing Institute of Technology, China

    Hongbin Ma

  • Beijing Institute of Technology, Beijing, China

    Mengyin Fu

About the authors

Chenguang Yang is a young expert in robotics and control. He has made a number of significant achievements in robot control and was awarded the IEEE Transactions on Robotics Best Paper Award in 2011,  WCICA conference Steve and Rosalind Hsia Best Biomedical Paper Award in 2014, and the IEEE ICIA Conference Best Paper Award in 2015.


Hongbin Ma has a strong academic background in control theory and application, and has been an active expert in robotics research and education. He is a recipient of the 13th Huo Ying Dong Young Teacher Award for Higher Education in 2012. His research interest covers adaptation, learning and recognition, especially adaptive estimation ,as well as their applications in robots and autonomous systems.


Mengyin Fu is a professor of Cheung Kong Scholars Program, and famous expert in integrated navigation and intelligent navigation system. His research areas also cover image processing, machine learning and pattern recognition.

Bibliographic Information

Publish with us