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)

Simulating a Differential Drive Robot Using ROS

In the previous chapter, we looked at how to model Chefbot. In this chapter, we are going to learn how to simulate the robot using the Gazebo simulator in ROS. We will learn how to create a simulation model of Chefbot, and we will create a hotel-like environment in Gazebo to test our application, which is programmed to automatically deliver food to customers. We will look at a detailed explanation of each of the steps to test out our application. The following are the important topics that we are going to cover in this chapter:

  • Getting started with the Gazebo simulator
  • Working with the TurtleBot 2 simulation
  • Creating a simulation of Chefbot
  • URDF tags and plugins for simulations
  • Getting started with simultaneous localization and mapping
  • Implementing SLAM in a Gazebo environment
  • Creating a map using SLAM
  • Getting started with adaptive...