{"product_id":"human-robot-interaction-control-using-reinforcement-learning","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\u003e 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. \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\n\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\n\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","brand":"Adolfo Perrusquia","offers":[{"title":"Default Title","offer_id":42850284732477,"sku":"9781119782742","price":225.86,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781119782742_8cd9cbc5-f2e3-438f-b6f4-489af715568f.jpg?v=1767071900","url":"https:\/\/www.palmleaf.com.au\/products\/human-robot-interaction-control-using-reinforcement-learning","provider":"Palmleaf","version":"1.0","type":"link"}