Automatic Path Planning of Robot for Intelligent Manufacturing Based on Network Remoted Controlling and Simulation

Wen-Yang Chang, Sheng-You Lin, Jia-Wei Hsu, Bo-Yao Hsu
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引用次数: 5

Abstract

This study investigated the automatic path generation of a six-axis robot for intelligent manufacturing based on network remoted controlling and simulation. The intelligent manufacturing also provides the real-time remote monitoring system that is through the TCP/IP protocol to connect and get the information from the machine controller. Then through virtual reality simulates the processing paths of robot manufacturing that calculated the path points of robot motion. The automatic path planning of the robot arm codes is transmitted to the arm controller to complete the path planning program and to start cutting the workpiece. In addition, the carving spindle is set up on the six-axis the robot arm and imported into the off-line programming software. Further, our study integrates a smart machine box with intelligent functions and internet of things to improve control precision and to analyze quantification data by collecting big data. Cloud platform is built using message queuing telemetry transport protocol, Postgre SQL, RESTful API and modelview-controller dashboard. This study hopes that the off-line compiler software will replace the manual teaching method and reduce the error that caused by the manual visual measurement accuracy and saved the time of robot shutdown.
基于网络远程控制与仿真的智能制造机器人自动路径规划
研究了基于网络远程控制和仿真的六轴智能制造机器人路径自动生成问题。智能制造还提供了实时远程监控系统,该系统通过TCP/IP协议与机器控制器连接并获取信息。然后通过虚拟现实对机器人制造的加工路径进行仿真,计算出机器人运动的路径点。将机器人手臂的自动路径规划代码传送给手臂控制器,完成路径规划程序,开始对工件进行切割。此外,雕刻主轴设置在六轴机械臂上,并导入离线编程软件。此外,我们的研究将智能功能与物联网结合在一起,提高控制精度,并通过收集大数据来分析量化数据。云平台使用消息队列遥测传输协议、Postgre SQL、RESTful API和模型视图控制器仪表板构建。本研究希望通过离线编译软件取代人工教学方法,减少人工目测精度带来的误差,节省机器人停机时间。
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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