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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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Summary

In this chapter, we learned how to simulate our own robot, called Chefbot. We looked at the design of the Chefbot in the previous chapter. We started the chapter by learning about the Gazebo simulator and its different features and capabilities. After that, we looked at how the ROS framework and Gazebo simulator are used to perform a robot simulation. We installed the TurtleBot 2 package and tested the Turtlebot 2 simulation in Gazebo. After that, we created the Chefbot simulation and used Gmapping, AMCL, and autonomous navigation in a hotel environment. We learned that the accuracy of the simulation depends on the map, and that the robot will work better in a simulation if the generated map is perfect.

In the next chapter, we will learn how to design the robot's hardware and electronic circuit.

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