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- #1256
- 22 May 2019
- LEGO MINDSTORMS, LEGO MINDSTORMS EV3
- FLLCasts Off-season, FLLCasts Off-season 2019, EV3, Challenge, Classes with students
The most important feature of a competition robot is its reliability. This is how often the robot executes successfully what it is meant to do.
You will see us using reliability and consistency interchangeably. They both measure the success rate of a robot doing the same task over and over.
You must measure your competition robot consistency for every program that you create.
The method is as follows:
- Start the program 10 times.
- Count the successful attempts. The ones that achieve the end goal without errors or penalties.
- Divide the number of successful attempts by the number of attempts. Multiply the result by 100.
- The number you got is the percentage of success rate that you measured for your robot.
You can even assign a grade to your robot or program using the percentage you calculated, following the table:
- A 89% - 100% (9 or 10 successes out of 10 tries)
- B 76% - 88% (8 successes out of 10 tries)
- C 63% - 75% (6 or 7 successes out of 10 tries)
- D 50% - 62% (5 or 6 successes out of 10 tries)
- F 0% - 49% (0 to 4 successes out of 10 tries)
Courses and lessons with this Tutorial
This Tutorial is used in the following courses and lessons

FLLCasts Off-season Challenge with LEGO Mindstorms EV3
The FLL season is great, but has one disadvantage - it ends. We have prepared that course for those of you that does not want to stop! The course presents a whole new challenge with custom designed field and mission models, that can be built from just 2 LEGO Mindstorms EV3 sets (core+resource). It is a great way to keep the momentum going after the end of the FLL season and prepare in the best way possible for the next.
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Navigation on the field (without sensors)
Introduction
The goal of this section is to drive a competition robot to a specific location on the competition field. We will be using only green motor blocks for simple straight moves and turns. In the end, we will evaluate the robot consistency in achieving the desired result.
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