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 3, Modeling the Differential Drive Robot

  1. Robot modeling is the process of creating the 2D and 3D representation of robot having all the parameters of the robot, which includes kinematic and dynamic parameters of the robot.
  2. The 2D model mainly includes the exact dimension of robot parts, which helps us compute the kinematics of the robot as well as helps manufacture robot parts.
  3. The 3D model of the robot is an exact replica of robot hardware having all parameters of the physical robot designed using a CAD software. This is used for creating robot simulation and 3D printing parts of the robot.
  4. Creating a 3D model using Python scripting is much easier and accurate than manual modeling if you know the Blender scripting APIs.
  5. URDF is the 3D robot model representation of robot in ROS. It is having kinematic and dynamic parameters of the robot.
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