English | 2021 | ISBN: ‎ 1119782740 , 978-1119782742 | 289 pages | True PDF | 25.5 MB

A comprehensive exploration of the control schemes of human-robot interactions
InHuman-Robot Interaction Control Using Reinforcement Learning, 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.
Human-Robot Interaction Control Using Reinforcement Learningoffers 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.
The 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.
Readers will also enjoy:
[list]
[*]A thorough introduction to model-based human-robot interaction control
[*]Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles
[*]Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control
[*]In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning
[/list]

Perfect 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,Human-Robot Interaction Control Using Reinforcement Learningis also an indispensable resource for students and professionals studying reinforcement learning.
download скачать

https://nitroflare.com/view/B919F5B3433E1A4/3iqmt.HumanRobot.Interaction.Control.Using.Reinforcement.Learning.pdf

https://rapidgator.net/file/da3ca30f5eccf6b542dbdc4733e8e537/3iqmt.HumanRobot.Interaction.Control.Using.Reinforcement.Learning.pdf