基于操纵杆和机器人技术的制造和控制领域工业自动化系统的机器学习方法

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) Pub Date : 2022-12-16 DOI:10.1109/SMART55829.2022.10047023

Sajithunisa Hussain, Remya P George, Nazia Ahmad, R. Jahan

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引用次数: 0

摘要

随着通信网络的完善，工业领域的自动化对工业的发展起着革命性的变化。制造和控制部门实现了完全自动化，以采用更高的生产率。因此，通过工业部门的自动化，消费者的需求得到了高度的满足。这种自动化是通过使用操纵杆和带有传感器的机器人技术来建立的。工业摇杆是一种控制装置，用于在适当的方向上操作不同尺寸的机器。机器人在工业上的应用本质上是多用途的。机械臂是通过控制操纵杆来工作的。机器人的整体运动是由操纵杆控制的。它有助于减少几分钟的误差，提高精度。行业中的这种自动化有助于通过实时实现来增强更新的创新。

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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Machine Learning Methods of Industrial Automation System in Manufacturing and Control Sector using Joystick with and Robotic Technology

The automation in the industrial sector plays a revolutionary change in the advancement in industries with improved communication network. The manufacturing and control sectors are enabled with complete automation to adopt higher productivity. Thus the demand of the consumers are highly accomplished through the automation in the industrial sectors. This automation is established by using joystick and robotic technology with sensors. The industrial joystick is used as a control devices for operating the machines at varied size with appropriate directions. The application of robotics in the industry is versatile in nature. The robotic arm is functioned through controlling the joystick. The overall movement of the robot is controlled and functioned with the joystick. It helps to reduce several minute errors with improved accuracy. This automation in the industry helps to enhance newer innovations with real time implementation.

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来源期刊

2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)

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