Book Image

Learning Robotics using Python - Second Edition

By : Lentin Joseph
Book Image

Learning Robotics using Python - Second Edition

By: Lentin Joseph

Overview of this book

Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package.
Table of Contents (12 chapters)

Chapter 1, Getting Started with the Robot Operating System

  1. Here are the three main features of ROS:
    • Message passing interface to communicate with different programs
    • Off-the-shelf robotics algorithm to make the robot prototyping faster
    • Software tools to visualize robot data and debugging
  2. The different levels of concepts in ROS are the ROS Filesystem level, ROS Computation Graph Level, and ROS Community Level.
  3. The Catkin build system is built using CMake and Python scripts. This tool helps us build the ROS packages.
  4. The ROS topic is a named bus in which one node can communicate to another node. The kind of message type used in the topics are ROS messages.
  5. The different concepts of the ROS computation graph are ROS Nodes, ROS Topics, ROS Messages, ROS Master, ROS Services, and
    ROS Bags.
  6. The ROS Master act as a mediator program to connect two ROS nodes to start communicating with...