Skip to Content
Learning Robotics using Python - Second Edition
book

Learning Robotics using Python - Second Edition

by Lentin Joseph
June 2018
Beginner to intermediate
280 pages
6h 58m
English
Packt Publishing
Content preview from Learning Robotics using Python - Second Edition

Chapter 4, Simulating a Differential Drive Robot Using ROS

  1. Sensor modeling in Gazebo can be done using Gazebo plugins. The sensor model can be written using C++, which can be plugged in to the Gazebo simulator.
  2. ROS is interfaced to Gazebo using Gazebo ROS plugin. When we load this plugin into Gazebo, we can able to control Gazebo through ROS interface.
  3. The important tags are <inertia>, <collision>, and <gazebo>.
  4. The Gmapping package in ROS is an implementation of Fast SLAM algorithm, which can be used in robot to map the environment and localizing on it. Using Gmapping in ROS is a straightforward process, including the gmapping node with necessary parameters and topics such as odometry and laser scan.
  5. The Move_base node has a provision to ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Learning Robotics using Python

Learning Robotics using Python

Lentin Joseph
Python Robotics Projects

Python Robotics Projects

Prof. Diwakar Vaish

Publisher Resources

ISBN: 9781788623315Supplemental Content