{"product_id":"human-robot-interaction-control-using-reinforcement-wen-yu-9781119782742","title":"Human-Robot Interaction Control Using Reinforcement Learning","description":"\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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Wen Yu, Adolfo Perrusquia\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119782740\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119782742\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/19\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 288\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.23lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.69d","brand":"Wen Yu","offers":[{"title":"Hardcover","offer_id":44067121758463,"sku":"9781119782742","price":150.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_70affaba-65a8-439e-a097-ba3f5143ed57.jpg?v=1685411322","url":"https:\/\/www.whiterainbookhouse.com\/products\/human-robot-interaction-control-using-reinforcement-wen-yu-9781119782742","provider":"WR Book House","version":"1.0","type":"link"}