基于GSM通信的远程机器人人工神经网络训练

G. Ramu, R. Hariprakash, K. Visalakshi, S. Ananthi, K. Padmanabhan
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引用次数: 3

摘要

在不建立新技术和涉及硬件电路板的情况下,如何开发基于工业人工神经网络(ANN)的企业机器人项目,并特别参考GSM小区和机器人模型。在培训开发企业机器人的过程中,必须充分利用各种可能的资源。不需要开发新的电路或方法,现有的设备,组件和服务可以用来开发一个标准的机器人项目。有很多例子,如交通控制、农业种植和适应性监控。本文阐述了上述机器人数据收集和控制的技术基础,并提出了使用简单易用的硬件来轻松快速地装配机器人系统的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Robot Training of Its Artificial Neural Network through GSM Communication
Without building new technology and involved hardware circuit boards, how to develop industrial artificial neural network (ANN) based robotic projects for enterprises is explained with special reference to GSM cell and robotic models. In the process of training to develop enterprise robots, one has to make use of all possible resources. Without the need for development of new circuits or methodology, existing devices, components and services can be used to develop a standard robotic project. There are many examples like traffic control, agricultural plantation and adaptive surveillance. The groundwork of technology for the above robot data collection and control is elucidated and schemes using simple readily available hardware for easy and quick rigging up of robotic systems is the theme of this paper.
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