Human-Robot Interaction Control Using Reinforcement Learning

<p><b>A comprehensive exploration of the control schemes of human-robot interactions&nbsp;</b></p> <p>In&nbsp;<i>Human-Robot Interaction Control Using Reinforcement Learning</i>,&nbsp;an expert team of authors delivers&nbsp;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.&nbsp;</p> <p><i>Human-Robot Interaction Control Using Reinforcement Learning&nbsp;</i>offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms.&nbsp;It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control.&nbsp;</p> <p>The authors&nbsp;also&nbsp;discuss&nbsp;advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics.&nbsp;</p> <p>Readers will also enjoy:&nbsp;&nbsp;</p> <ul> <li>A thorough introduction to model-based human-robot interaction control&nbsp;</li> <li>Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles&nbsp;</li> <li>Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control&nbsp;</li> <li>In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning&nbsp;&nbsp;</li> </ul> <p>Perfect for&nbsp;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,&nbsp;<i>Human-Robot Interaction Control Using Reinforcement Learning</i>&nbsp;is also an indispensable resource for&nbsp;students and professionals studying reinforcement learning.&nbsp;</p>