基于力信息的神经网络在机器人位置控制中的作用

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI:10.1109/icicn52636.2021.9673826

Yifei Zhang, Pingguo Huang, Y. Ishibashi, T. Okuda, K. Psannis

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引用次数: 1

摘要

本文主要研究了神经网络模型在具有力反馈的远程机器人系统服务质量控制中的应用。为了提高机器人位置控制的效率，我们建立了利用力信息的模型，这在之前被提出为QoS控制。通过实验验证了该模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Effect of Neural Network on Robot Position Control Using Force Information

In this paper, we focus on the application of a neural network model to QoS (Quality of Service) control for a remote robot system with force feedback. We have constructed the model to improve the efficiency of the robot position control using force information, which was proposed as QoS control previously. By experiment, we demonstrate that the model is effective.

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来源期刊

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)

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