{"product_id":"9781119782742","title":"Human-Robot Interaction Control Using Reinforcement Learning","description":"\u003ch3\u003eIEEE Press Series on Systems Science and Engineering\u003c\/h3\u003e\u003ch1\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/h1\u003e\u003ch3\u003eWen Yu | Adolfo Perrusquia\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Robotics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eA comprehensive exploration of the control schemes of human-robot interactions \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn \u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/i\u003e, 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. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning \u003c\/i\u003eoffers 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. \u003c\/p\u003e \u003cp\u003eThe 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. \u003c\/p\u003e \u003cp\u003eReaders will also enjoy:  \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA thorough introduction to model-based human-robot interaction control \u003c\/li\u003e \u003cli\u003eComprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles \u003c\/li\u003e \u003cli\u003ePractical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control \u003c\/li\u003e \u003cli\u003eIn-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning  \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect 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, \u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/i\u003e is also an indispensable resource for students and professionals studying reinforcement learning. \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eWEN YU, PhD,\u003c\/b\u003e is Professor and Head of the Departamento de Control Automático with the Centro de Investigación y de Estudios Avanzados, Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico. He is a co-author of \u003ci\u003eModeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eADOLFO PERRUSQUÍA, PhD,\u003c\/b\u003e is a Research Fellow in the School of Aerospace, Transport, and Manufacturing at Cranfield University in Bedford, UK. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e19 October 2021\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119782742\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e288\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44378497876108,"sku":"9781119782742","price":139.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119782742.jpg?v=1780141699","url":"https:\/\/lateknightbooks.com\/products\/9781119782742","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}