Q-learning-based model predictive variable impedance control for physical human-robot collaboration
type: Item
instance of: scholarly article
title: Q-learning-based model predictive variable impedance control for physical human-robot collaboration
author: Loris Roveda
author: Andrea Testa
author: Asad Ali Shahid
author: Francesco Braghin
author: Dario Piga
published in: Artificial Intelligence
publication date: 2022-11-08T00:00:00Z
Mathematics Subject Classification ID: 68Txx
zbMATH DE Number: 7613153
zbMATH Keywords: physical human-robot collaboration
zbMATH Keywords: industry 4.0
zbMATH Keywords: machine learning
zbMATH Keywords: model-based reinforcement learning control
zbMATH Keywords: neural networks
zbMATH Keywords: Q-learning
zbMATH Keywords: stability
zbMATH Keywords: variable impedance control
describes a project that uses: Adam
MaRDI profile type: Publication
full work available at URL: j.artint.2022.103771
OpenAlex ID: W4291006859
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DOI: 10.1016/J.ARTINT.2022.103771
description: scientific article; zbMATH DE number 7613153