Configure Linux systems to support industrial robots and automated production development

Configuring Linux systems to support industrial robots and automated production development

With the rapid development of industrial robots and automated production, more and more companies are beginning to use Linux systems to support their production development. Linux system has good stability, flexibility and customizability, which makes it an ideal choice. This article will describe how to configure a Linux system to support industrial robots and automated production development, and provide some code examples.

1. Install Linux system
   First, you need to choose a suitable Linux distribution and install it on your computer. Common choices include Ubuntu, Fedora, and CentOS. The installation process will differ for different distributions, you can refer to the official documentation or online tutorials.
2. Update system
   After installing the Linux system, you need to update the system in time to maintain the latest security and functionality. Open a terminal and run the following command to update your system:

sudo apt update
sudo apt upgrade

3. Install the necessary packages
   Next, you need Install some necessary software packages to support industrial robots and automated production development. Here are some commonly used software packages:

• ROS (Robotic Operating System): An open source platform for robot development. Run the following command to install ROS:

  sudo apt install ros-melodic-desktop-full

• Gazebo: An open source tool for simulating robotic environments. Run the following command to install Gazebo:

  sudo apt install gazebo9

• Python and pip: used to write and manage Python scripts. Run the following commands to install them:

  sudo apt install python3 python3-pip

• MATLAB: A popular numerical computing software for industrial automation development. You can download MATLAB from the official website and install it by following its installation instructions.

4. Configuring ROS
   After installing ROS, you need to configure it some. Open a terminal and run the following command to configure ROS's environment variables:

echo "source /opt/ros/melodic/setup.bash" >> ~/.bashrc
source ~/ .bashrc

Next, you can create a ROS workspace to organize your project code. Open a terminal and run the following command:

mkdir -p ~/catkin_ws/src
cd ~/catkin_ws/
catkin_make

5. Writing and Running ROS Node
   In ROS, a node is an independent process used to perform specific tasks. The following is a simple sample code for creating a ROS node and publishing messages:

First, create a Python file named "talker.py" and copy and paste the following code into In the file:

#!/usr/bin/env python
import rospy
from std_msgs.msg import String

def talker():
    pub = rospy.Publisher('chatter', String, queue_size=10)
    rospy.init_node('talker', anonymous=True)
    rate = rospy.Rate(10) 
    while not rospy.is_shutdown():
        hello_str = "hello world %s" % rospy.get_time()
        rospy.loginfo(hello_str)
        pub.publish(hello_str)
        rate.sleep()

if __name__ == '__main__':
    try:
        talker()
    except rospy.ROSInterruptException:
        pass

Save the file and run the following command to make it executable:

chmod x talker.py

Next, open a terminal and run the following command to start ROS node:

roscore

In another terminal, run the following command to run the "talker.py" node:

rosrun 8c407fc3ca5bd2960ccd7d76fd924a9e talker.py

In this way, you create a ROS node and start publishing messages on the "chatter" topic.

The above is a simple example, you can write and run more complex ROS nodes according to your own needs.

Summary
Configuring a Linux system to support industrial robots and automated production development is a relatively simple process. You just need to choose a suitable Linux distribution, install the necessary software packages, and perform some basic configuration. Additionally, ROS provides a powerful platform to develop and manage robotic applications. I hope this article is helpful to you and can provide guidance for your industrial robot and automated production development.

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