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Learning Robotics using Python

You're reading from   Learning Robotics using Python Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books.

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Length 330 pages
Edition 1st Edition
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Robotics FREE CHAPTER 2. Mechanical Design of a Service Robot 3. Working with Robot Simulation Using ROS and Gazebo 4. Designing ChefBot Hardware 5. Working with Robotic Actuators and Wheel Encoders 6. Working with Robotic Sensors 7. Programming Vision Sensors Using Python and ROS 8. Working with Speech Recognition and Synthesis Using Python and ROS 9. Applying Artificial Intelligence to ChefBot Using Python 10. Integration of ChefBot Hardware and Interfacing it into ROS, Using Python 11. Designing a GUI for a Robot Using Qt and Python 12. The Calibration and Testing of ChefBot Index

Preface

Learning Robotics with Python contains twelve chapters that mainly aims at how to build an autonomous mobile robot from scratch and how to program it using Python. The robot mentioned in this book is a service robot, which can be used to serve food at home, hotels, and restaurants. From the beginning to end, this book discusses the step-by-step procedure on how to build this robot. The book starts with the basic concepts of robotics and then moves on to the 3D modeling and simulation of the robot. After the successful simulation of the robot, it discusses the hardware components required to build the robot prototype in order to complete the robot navigation.

The software part of this robot is mainly implemented using the Python programming language and software frameworks, such as Robot Operating System (ROS), Open-CV, and so on. You will understand the application of Python from the aspects of designing the robot to the robot’s user interface. The Gazebo simulator is used to simulate the robot and machine vision libraries, such as Open-CV and OpenNI. PCL is used to process the 2D and 3D image data of the robot. Each chapter is presented with an adequate theory to understand the application aspect. The book is reviewed by experts in this field who are passionate about robotics.

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