Book Image

Learn Robotics Programming - Second Edition

By : Danny Staple
Book Image

Learn Robotics Programming - Second Edition

By: Danny Staple

Overview of this book

We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you'll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming. The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you'll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You'll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you'll understand how you can apply the skills that you've learned to visualize, lay out, build, and code your future robot building projects. By the end of this book, you'll have built an interesting robot that can perform basic artificial intelligence operations and be well versed in programming robots and creating complex robotics projects using what you've learned.
Table of Contents (25 chapters)
1
Section 1: The Basics – Preparing for Robotics
7
Section 2: Building an Autonomous Robot – Connecting Sensors and Motors to a Raspberry Pi
15
Section 3: Hearing and Seeing – Giving a Robot Intelligent Sensors
21
Section 4: Taking Robotics Further

Summary

In this chapter, you've seen how to combine the IMU sensors to approximate an absolute orientation in space. You've seen how to render these in graphs and how to display them onscreen with a virtual robot. You've then seen how to hook this sensor system up to a PID controller and motor to get the robot to drive.

You've learned a little of the math needed to convert between vector components and angles, in 3D, along with how to use complementary filters to compensate for noise in one system and drift in another. You've started to see multiple sensors fused together to make inferences about the world. Your block diagram and data flow skills have been exercised, and you have had more practice with the PID algorithm.

In the next chapter, we will look at how you can control your robot and choose behaviors from a menu with a smartphone.