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Learning Robotics using Python

Learning Robotics using Python

By : Lentin Joseph
3.1 (8)
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Learning Robotics using Python

Learning Robotics using Python

3.1 (8)
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)
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Getting Started with Robot Operating System
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Working with Python bindings of Qt

Let's see how we can interface Python and Qt. In general, there are two modules available in Python for connecting to the Qt user interface. The two most popular frameworks are:

  • PyQt
  • PySide

PyQt

PyQt is one of the most popular Python bindings for Qt cross-platform. PyQt is developed and maintained by Riverbank Computing Limited. It provides binding for Qt version 4 and Qt version 5 and comes with GPL (version 2 or 3) along with a commercial license. PyQt is available for Qt version 4 and 5, called PyQt4 and PyQt5, respectively. These two modules are compatible with Python versions 2 and 3. PyQt contains more than 620 classes that cover the user interface, XML, network communication...

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