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Learn Robotics Programming - Second Edition

You're reading from  Learn Robotics Programming - Second Edition

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781839218804
Pages 602 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Danny Staple Danny Staple
Profile icon Danny Staple

Table of Contents (25) Chapters

Preface Section 1: The Basics – Preparing for Robotics
Chapter 1: Introduction to Robotics Chapter 2: Exploring Robot Building Blocks – Code and Electronics Chapter 3: Exploring the Raspberry Pi Chapter 4: Preparing a Headless Raspberry Pi for a Robot Chapter 5: Backing Up the Code with Git and SD Card Copies Section 2: Building an Autonomous Robot – Connecting Sensors and Motors to a Raspberry Pi
Chapter 6: Building Robot Basics – Wheels, Power, and Wiring Chapter 7: Drive and Turn – Moving Motors with Python Chapter 8: Programming Distance Sensors with Python Chapter 9: Programming RGB Strips in Python Chapter 10: Using Python to Control Servo Motors Chapter 11: Programming Encoders with Python Chapter 12: IMU Programming with Python Section 3: Hearing and Seeing – Giving a Robot Intelligent Sensors
Chapter 13: Robot Vision – Using a Pi Camera and OpenCV Chapter 14: Line-Following with a Camera in Python Chapter 15: Voice Communication with a Robot Using Mycroft Chapter 16: Diving Deeper with the IMU Chapter 17: Controlling the Robot with a Phone and Python Section 4: Taking Robotics Further
Chapter 18: Taking Your Robot Programming Skills Further Chapter 19: Planning Your Next Robot Project – Putting It All Together Other Books You May Enjoy

Driving a robot from IMU data

In previous chapters, we saw how to use the PID algorithm, and in this chapter, how to detect a pitch, roll, and yaw from a magnetometer. Our robot can't move its pitch or roll, but it can change its heading.

In this demonstration, we'll get the robot to stay on course—to try to track North regardless of where we turn it. Let's see how. Have a look at the following diagram:

Figure 16.19 – Drive to heading behavior

Figure 16.19 shows the flow of data. The left of the diagram starts with a measured heading, and a heading setpoint going into a PID—the error value will be the difference between the two. The measured heading has come from the IMU + Fusion algorithm. We use the PID output to drive the motors so that they move at a fixed speed plus or minus the value, so the robot will turn to reduce the error. The robot moving will feed back into the IMU + Fusion algorithm, looping through...

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