ROS on Linux: The Dynamic Duo for Robotics and Automation（roslinux）

Robotics and automation continue to revolutionize industries across the globe, rapidly changing how work is done, and how companies and organizations carry out their operations. As technology and innovation continue to advance, robotics and automation players are looking for more sophisticated and efficient ways to automate their processes. One of the most popular and effective tools for robotics and automation is ROS on Linux, an open-source framework that is changing the game in the industry.

ROS on Linux is a powerful platform that provides a collection of software tools and libraries that aid in the development of robots and automation systems. ROS (Robot Operating System) is built on the Linux operating system, which is known for its versatility, stability, and security, making it an ideal platform for robotics and automation. ROS on Linux is designed to provide a stable and flexible framework for building robotics applications, making it easier for developers to create, test, and deploy robotic systems.

ROS on Linux offers many advantages to robotics and automation developers, including easy development and integration. ROS offers a range of libraries and tools that are easily accessible to developers, making it easier for them to write and test their code. The platform provides a range of tools that can be used in different stages of development, enabling developers to build complex and sophisticated robotics applications with ease.

Furthermore, ROS on Linux makes it simpler for developers to integrate different hardware and software technologies, making it easier to build robots and automation systems that function correctly. The platform supports a wide range of low-level as well as high-level integration with hardware, including sensors, actuators, and other control systems. This makes it possible to integrate different hardware and software technologies, including touch screens, cameras, and other devices, into a single robotic system.

In addition, ROS on Linux offers a range of drivers that make it possible to connect different types of hardware to the platform with minimal effort. This means that developers can focus on building the robot or automation system, rather than spending time and effort on integrating different hardware and software systems.

Finally, ROS on Linux is built on an open-source framework, making it easily accessible to other developers who want to contribute to the platform. This helps to drive innovation and collaboration among developers, leading to the creation of even more sophisticated and advanced robotic systems.

To sum up, ROS on Linux is a powerful tool for robotics and automation developers, offering a range of benefits, including easy development, easy integration, and support for a wide range of hardware and software technologies. ROS on Linux is an open-source framework, making it accessible to developers, which helps to drive innovation and collaboration in the industry. With ROS on Linux, developers can focus on building the robot or automation system rather than integrating different hardware and software systems, leading to a more efficient and cost-effective development process.

“` python

#!/usr/bin/env python

from math import pi

import rospy

from std_msgs.msg import Float32

import serial

ser=serial.Serial(port=’/dev/serial/by-id/usb-Arduino__www.arduino.cc__0043_5573930373835131B182-if00′, baudrate=9600, timeout=0)

class MotorController:

def __init__(self):

self.publishers()

def publishers(self):

self.pub_left_wheel_j1 = rospy.Publisher(‘/motor_controller/left_wheel_joint_1_controller/command’,Float32,queue_size=10)

self.pub_right_wheel_j2 = rospy.Publisher(‘/motor_controller/right_wheel_joint_2_controller/command’,Float32,queue_size=10)

def run(self):

r = rospy.Rate(10)

while not rospy.is_shutdown():

if ser.in_waiting > 0:

line = ser.readline().decode(‘utf-8’).strip()

vals = line.split(“,”)

if len(vals)==2:

left_vel = float(vals[0])

right_vel = float(vals[1])

self.pub_left_wheel_j1.publish((left_vel*2*pi)/60) #convert from RPM to rad/s

self.pub_right_wheel_j2.publish((right_vel*2*pi)/60)

r.sleep()

if __name__ == ‘__main__’:

rospy.init_node(“motor_controller”)

motor_controller = MotorController()

motor_controller.run()