| 書名: | Human-Robot Interaction Control Using Reinforcement Learning | |||
| 作者: | Wen Yu, Adolfo Perrusquia | |||
| ISBN: | 9781119782742 | |||
| 出版社: | John Wiley | |||
| 出版日期: | 2021/01 | |||
| 書籍開數、尺寸: | 15.24*2.13*22.86 | |||
| 重量: | 0.45 Kg | |||
|
#資訊
|
||||
【簡介】 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. 【目錄】
還沒有人留下心得，快來搶頭香！
為您推薦
類似書籍推薦給您
The book's content is designed to provide practical guidance and insights for conducting experiments in Human–Robot Interaction (HRI) and publishing the results in scientific journals. It includes a detailed explanation of how to conduct HRI experiments and what to do and what not to do to get an article accepted for publication. It is tailored to those seeking to deepen their understanding of HRI methodologies, statistical measurements, and research design. The case studies and examples featured in the book focus on interactions between social robots and specific demographics such as children and older adults, making it relevant for individuals working in healthcare, education, and related domains. Also covered are common statistical measurements used in HRI research and quantitative, qualitative, and meta-analyses. The concepts are illustrated with several international case studies of interactions between social robots and children and older adults and robot learning instead of programming. The final chapter explores current trends in HRI and provides insights into what to look for in the coming years. It includes an extensive reference section to help HRI researchers in all these areas. This book will appeal to an international audience of advanced students, researchers, industry, and others who are actively engaged or interested in the field of HRI. Related Link(s) Press Release: How to conduct an HRI experiment: And get an article accepted for publication Sample Chapter(s) Preface Chapter 1: Introduction to Human–Robot Interaction Contents: Introduction to Human–Robot Interaction How to Conduct a Human–Robot Interaction Experiment Measuring User Acceptance Imitating Human Emotions Human–Robot Interaction with Older Adults Human–Robot Interaction with Children Robot Learning The Future of Human–Robot Interaction Readership: Advanced students, researchers, and professionals who are actively engaged or interested in the field of Human–Robot Interaction (HRI).
類似書籍推薦給您
【簡介】 Human Resource Management introduces you to the daily tools and skills you'll need to function as successful managers, in both HR and business in general. Using a practical approach, the text explores the evolution of the field, highlighting the introduction of revolutionary new technologies and social media platforms. With a heavy focus on emerging industry trends and the positive impacts of technology on HR, the 17th Edition prepares you with everything you need to be effective managers and HR personnel in the 21st century. 【目錄】 PART I: INTRODUCTION Ch 1 Introduction to Human Resource Management Ch 2 Equal Opportunity Law and Action Ch 3 Human Resource Policy, Strategy, and Performance PART II: RECRUITMENT, PLACEMENT, AND TALENT MANAGEMENTC Ch 4 Job Analysis and the Talent Management Process Ch 5 Personnel Planning and Recruiting Ch 6 Employee Testing and Selection Ch 7 Interviewing Candidates PART III: TRAINING AND DEVELOPMENT Ch 8 Training and Developing Employees Ch 9 Performance Management and Appraisal Ch10 Managing Careers and Retention PART IV: COMPENSATION Ch11 Establishing Strategic Pay Plans Ch12 Pay for Performance and Financial Incentives Ch13 Benefits and Services PART V: ENRICHMENT TOPICS IN HUMAN RESOURCE MANAGEMENT Ch14 Building Positive Employee Relations Ch15 Labor Relations and Collective Bargaining Ch16 Safety, Health, and Risk Management Ch17 Managing Global Human Resources Ch18 Managing Human Resources in Small and Entrepreneurial firms
類似書籍推薦給您
【簡介】 The integration of AI into information systems will affect the way users interface with these systems. This exploration of the interaction and collaboration between humans and AI reveals its potential and challenges, covering issues such as data privacy, credibility of results, misinformation, and search interactions. Later chapters delve into application domains such as healthcare and scientific discovery. In addition to providing new perspectives on and methods for developing AI technology and designing more humane and efficient artificial intelligence systems, the book also reveals the shortcomings of artificial intelligence technologies through case studies and puts forward corresponding countermeasures and suggestions. This book is ideal for researchers, students, and industry practitioners interested in enhancing human-centered AI systems and insights for future research.
類似書籍推薦給您
Part I: An Overview of Development. 1. Introduction to Motor Development. 2. Cognitive and Motor Development. 3. Social and Motor Development. Part II: Factors That Affect Development. 4. Prenatal Development Factors. 5. Effects of Early Stimulation and Deprivation. Part III: Physical Changes across the Lifespan. 6. Growth and Maturation. 7. Physiological Changes: Health-Related Physical Fitness. 8. Movement and the Changing Senses. Part IV: Movement across the Lifespan. 9. Infant Reflexes and Stereotypies. 10. Voluntary Movements of Infancy. 11. Fine Motor Development. 12. Fundamental Locomotion Skills of Childhood. 13. Fundamental Object-Control Skills of Childhood. 14. Youth Sports. 15. Movement in Adulthood. Part V: Assessing Motor Development. 16. Assessment.
