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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

Chapter 7. Advanced Programming

In this chapter, we will explore some more advanced algorithms with a focus on what we need for navigation. This will be particularly useful for programming your robot to navigate an obstacle course or play a complex game, such as FIRST Lego League. In this chapter, we will cover how to:

  • Use Loops and Switches to drive in a square
  • Use Loops and Switches to avoid an obstacle
  • Navigate using Motor Rotation sensor feedback
  • Navigate using Gyro Sensor feedback
  • Simplify our program using My Blocks
  • Simplify our program using Arrays

Using any of our four base robots, we will make the robot go forward, make a 90 degree turn, go forward, and repeat this sequence several times. In this chapter, I have included programs using both the Gyro Sensor and a process of navigation called dead reckoning. Dead reckoning, which is short for deduced reckoning, consists of calculating how far the wheels of your robot should turn by using the built-in shaft encoders (Motor Rotation...

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