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

Detecting rotation with the gyroscope

We've had some raw data from the gyroscope, but to use it more effectively, we'll need to perform two operations, calibrating the gyroscope, and then integrating it, as shown in the following diagram:

Figure 16.4 – The gyroscope data flow

Figure 16.4 shows the data flow, and we will look closer at the concepts later in this section. The first operation is shown at the top, which shows the gyroscope data going through an offset calibration to take out errors. This gives us a calibrated gyroscope, with a rate of change in degrees per second (per axis)—shown by the arrow around the circle. The gyroscope makes a relative measurement.

The lower part of the diagram is the second operation, combining delta time with the calibrated gyroscope (gyro). We need to integrate that to find an absolute measurement. An integrator multiplies an input value by delta time and adds this to a previous result....