Stock photo: cover may vary
Human-Robot Interaction Control Using Reinforcement Learning (IEEE Press Series on Systems Science and Engineering) Hardback - 2021
by Yu, Wen
- New
A$236.85
A$5.82
Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Standard delivery: 2 to 14 days
Ships from GreatBookPrices (Maryland, United States)
Details
- Title Human-Robot Interaction Control Using Reinforcement Learning (IEEE Press Series on Systems Science and Engineering)
- Author Yu, Wen
- Binding Hardback
- Condition New
- Pages 288
- Volumes 1
- Language ENG
- Publisher Wiley-IEEE Press
- Publication date 2021-10-19
- Bookseller's Inventory # 41747117-n
- ISBN 9781119782742 / 1119782740
- Weight 1.23 lbs (0.56 kg)
- Dimensions 9 x 6 x 0.69 in (22.86 x 15.24 x 1.75 cm)
- Category Technology & Industrial Arts
- Quantity available 5
About GreatBookPrices Maryland, United States
Biblio member since 2024
Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.
Reader reviews for Human-Robot Interaction Control Using Reinforcement Learning (IEEE Press Series on Systems Science and Engineering)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
A comprehensive exploration of the control schemes of human-robot interactions
In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation.
Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control.
The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics.
Readers will also enjoy:
- A thorough introduction to model-based human-robot interaction control
- Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles
- Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control
- In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning
Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning.
