Human-in-the-loop Learning and Control for Robot Teleoperation
eBook - ePub

Human-in-the-loop Learning and Control for Robot Teleoperation

  1. 266 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Human-in-the-loop Learning and Control for Robot Teleoperation

About this book

Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. - Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation - Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system - Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system

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Yes, you can access Human-in-the-loop Learning and Control for Robot Teleoperation by Chenguang Yang,Jing Luo,Ning Wang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Author biographies
  7. Preface
  8. Chapter One Introduction
  9. Chapter Two Software systems and platforms for teleoperation
  10. Chapter Three Uncertainties compensation-based teleoperation control
  11. Chapter Four User experience-enhanced teleoperation control
  12. Chapter Five Shared control for teleoperation
  13. Chapter Six Human–robot interaction in teleoperation systems
  14. Chapter Seven Task learning of teleoperation robot systems
  15. Index