移动机器人稳定建模的运动元素

2019 Systems of Signals Generating and Processing in the Field of on Board Communications Pub Date : 2019-03-01 DOI:10.1109/SOSG.2019.8706810

D. P. Sichkar, D. Bezumnov, V. Voronov, L. Voronova, V. I. Dankovtsev

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引用次数: 5

摘要

本文描述了移动机器人在货物运输中移动元件的稳定问题的解决方法。利用Python、tensorflow库及其扩展tflearn创建了一个具有不同感知器变体的神经网络。利用体育馆库对Open AI环境下技术系统移动元件的位置稳定过程进行了仿真。形成了用于神经网络训练的数据集，利用Python和gym库对神经网络进行了训练和测试。实验结果对开发运动物体稳定系统时神经网络结构的选择提出了建议。

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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Moving Elements of Mobile Robots Stabilization Modelling

The article describes the solution of the problem of stabilization of the mobile elements of mobile robots in transportation of goods. A neural network with different variants of perceptron by Python, tensorflow library and its extension tflearn was created. The simulation of the process of stabilization of the position of the mobile element of the technical system in the Open AI environment by means of the gym library is carried out. Data sets for neural network training are formed, training and testing of neural network by Python and gym library are carried out. As a result of testing recommendations on the choice of neural network architecture for the development of stabilization systems of mobile objects are given.

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2019 Systems of Signals Generating and Processing in the Field of on Board Communications

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