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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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Technical requirements

To test the application and codes in this chapter, you will need an Ubuntu 16.04 LTS PC/laptop with ROS Kinetic installed.

You will also need fabricated robot chassis parts for assembling the robot.

You should have all the sensors and other hardware components that can be integrated in the robot.

We have already discussed interfacing individual robot components and sensors with Launchpad. In this chapter, we will try to interface the necessary robotic components and sensors of ChefBot and program it in such a way that it will receive the values from all sensors and control the information from the PC. Launchpad will send all sensor values to the PC via a serial port and also receive control information (such as reset commands, speed data, and so on) from the PC.

After receiving Serial port data from the Tiva C Launchpad, a ROS Python node will receive the...

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