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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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List of robotic vision sensors and image libraries

A 2D vision sensor or an ordinary camera delivers 2D image frames of the surroundings, whereas a 3D vision sensor delivers 2D image frames and an additional parameter called the depth of each image point. We can find the x, y, and z distance of each point from the 3D sensor with respect to the sensor's axis.

There are quite a few vision sensors available on the market. Some of the 2D and 3D vision sensors that can be used in our robot are mentioned in this chapter.

Pixy2/CMUcam5

The following picture shows the latest 2D vision sensor, called Pixy2/CMUcam5 (https://pixycam.com/pixy-cmucam5/), which is able to detect color objects with high speed and accuracy, and can be...

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