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Human-robot interaction control using reinforcement learning (Record no. 567398)

MARC details
000 -LEADER
fixed length control field 02872 a2200265 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250227174636.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250227b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119782742
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.892
Item number Y9h
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Yu, Wen
245 ## - TITLE STATEMENT
Title Human-robot interaction control using reinforcement learning
Statement of responsibility, etc Wen Yu and Adolfo Perrusquia
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher John Wiley
Year of publication 2022
Place of publication Hoboken
300 ## - PHYSICAL DESCRIPTION
Number of Pages xx, 262p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title IEEE Press series on systems science and engineering
490 ## - SERIES STATEMENT
Series statement / edited by MengChu Zhou
520 ## - SUMMARY, ETC.
Summary, etc <br/>A comprehensive exploration of the control schemes of human-robot interactions <br/><br/>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. <br/><br/>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. <br/><br/>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. <br/><br/>Readers will also enjoy: <br/><br/> A thorough introduction to model-based human-robot interaction control <br/> Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles <br/> Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control <br/> In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning <br/><br/>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. <br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Human-robot interaction
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Intelligent control systems
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Reinforcement learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Perrusquia, Adolfo
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 10/03/2025 2 9604.95 629.892 Y9h A186716 12806.60 Books

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