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May, 2022
一种基于深度学习子任务分类的自适应导纳控制器,用于机器人协作钻探
An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning
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Pouya P. Niaz, Berk Guler, Alireza Madani, Yusuf Aydin, Cagatay Basdogan
TL;DR
本文提出了一种基于人工神经网络模型的监督式学习方法,用于实时分类实物人机交互任务中的子任务并相应地调整接触参数来使机器人对操作者更加透明和稳定。
Abstract
In this paper, we propose a
supervised learning
approach based on an
artificial neural network
(ANN) model for
real-time classification
of
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