BOOKS - PROGRAMMING - Human-Robot Interaction Control Using Reinforcement Learning
US $7.86
716355
716355
Human-Robot Interaction Control Using Reinforcement Learning
Author: Wen Yu, Adolfo Perrusquia
Year: 2022
Format: PDF
File size: 25,4 MB
Language: ENG
Year: 2022
Format: PDF
File size: 25,4 MB
Language: ENG
A comprehensive exploration of the control schemes of human-robot interactionsIn Human-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 Learning 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.