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Learning Robotics using Python

You're reading from  Learning Robotics using Python

Product type Book
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Pages 330 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (19) Chapters

Learning Robotics Using Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Introduction to Robotics Mechanical Design of a Service Robot Working with Robot Simulation Using ROS and Gazebo Designing ChefBot Hardware Working with Robotic Actuators and Wheel Encoders Working with Robotic Sensors Programming Vision Sensors Using Python and ROS Working with Speech Recognition and Synthesis Using Python and ROS Applying Artificial Intelligence to ChefBot Using Python Integration of ChefBot Hardware and Interfacing it into ROS, Using Python Designing a GUI for a Robot Using Qt and Python The Calibration and Testing of ChefBot Index

Working with ChefBot's control GUI


After completing the Hello World application in PyQt, next we can discuss a GUI for controlling ChefBot. The main use of building a GUI is to create an easier way to control the robot, for example, if the robot is deployed in a hotel to serve food, the person who controls this robot need not have knowledge about the complex commands to start and stop this robot; so building a GUI for ChefBot can reduce the complexity and make it easier for the user. We are planning to build a GUI using PyQt, ROS and Python interface. The ChefBot ROS package is available on GitHub on the following link:

https://github.com/qboticslabs/Chefbot_ROS_pkg.git

If you haven't cloned the code yet, you can do it now using following command:

$ git clone https://github.com/qboticslabs/Chefbot_ROS_pkg.git

The GUI code named robot_gui.py is placed in the scripts folder, which is inside the chefbot_bringup package.

The following screenshot shows the GUI that we have designed for ChefBot...

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