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Learning Lego Mindstorms EV3

You're reading from   Learning Lego Mindstorms EV3 Build and create interactive, sensor-based robots using your LEGO MINDSTORMS EV3 kit

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783985029
Length 284 pages
Edition 1st Edition
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Author (1):
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Gary Garber Gary Garber
Author Profile Icon Gary Garber
Gary Garber
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Table of Contents (14) Chapters Close

Preface 1. Engineering Notebook FREE CHAPTER 2. Mechanical Design 3. Drive Train and Chassis 4. Sensors and Control 5. Interacting with EV3 6. Output from EV3 7. Advanced Programming 8. Advanced Programming and Control 9. Experiment Software and Data Logging 10. Other Programming Languages 11. Communication between Robots 12. Advanced Robot – Gyro Boy Index

Improving dead reckoning


In this next section, we will use autonomous data logging to collect sensor data, which we will graph and then analyze to improve our dead reckoning skills. Because the Gyro Sensor is so susceptible to drift, I know many FIRST LEGO League (FLL) teams who still prefer to use dead reckoning to navigate a course. Reconciling the amount of turning in dead reckoning with the values of the Motor Rotation sensors can be tedious and time consuming.

Data logging allows us to directly compare the values of the Gyro Sensor to the values of the Motor Rotation sensors over a period of time.

Let's begin by attaching a Gyro Sensor to port 2 on our robot. For the graphs in this chapter, I attached the Gyro Sensor to the caster-bot, but you can do this with any of our robots. In the following screenshot, you can see a simple program to acquire and store data from the sensors:

In the following steps, I will describe the program in the preceding screenshot:

  1. We start out by using sensor...

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