{"title":"Adolfo Perrusquia","description":"\u003cp\u003eAdolfo Perrusquia’s works delve into the cutting-edge fields of engineering and technology, with a particular focus on the integration of robotics and artificial intelligence. Readers can explore advanced concepts such as reinforcement learning applied to human-robot interaction, offering deep insights into how intelligent systems are controlled and optimised.\u003c\/p\u003e\n\n\u003cp\u003eThese books provide both theoretical foundations and practical approaches essential for professionals and enthusiasts seeking to understand and innovate within automated and adaptive technologies. Perrusquia’s clear exposition makes complex ideas accessible to those interested in the evolving interface between humans and machines.\u003c\/p\u003e","products":[{"product_id":"human-robot-interaction-control-using-reinforcement-learning-by-adolfo-perrusquia-9781119782742","title":"Human-Robot Interaction Control Using Reinforcement Learning","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA comprehensive exploration of the control schemes of human-robot interactions\u003c\/b\u003e\u003c\/p\u003e\n\n\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\n\n\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\n\n\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\n\n\u003cp\u003eReaders will also enjoy:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003eA thorough introduction to model-based human-robot interaction control\u003c\/li\u003e\n    \u003cli\u003eComprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles\u003c\/li\u003e\n    \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\n    \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\n\n\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","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47470848639212,"sku":"9781119782742","price":287.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/8636ab0a8a60aa764f227aaf587723ef.jpg?v=1775792940"}],"url":"https:\/\/bookhero.co.nz\/collections\/adolfo-perrusquia.oembed","provider":"Book Hero","version":"1.0","type":"link"}