Video tutorials

Using everything that we've learned about LEGO Education SPIKE Prime competition programming we arrive at the final boss mission - how do we consistently reach a mission model at the other end of the field. Consistently. Every time. We use line following, motion sensor, counting of lines and border alignment. All the different concepts that we've looked at separately are now implemented together.

This is a recording of a completely perfect, 10 out of 10 accomplishment of a two-part mission - Train tracks, from the FIRST LEGO League 2021-2022 Cargo Connect competition. Due to the proper use of motion and color/light sensors, the robot is 100% consistent and reliable for a non-trivial mission. Even when the robot makes a mistake, it auto-corrects and compensates for this mistake.

We start a course for following a line with crosses and gaps. This is a challenge that one of the users at FLLCasts.com was trying to accomplish and asked us for advice. We present the whole challenge to you step-by-step. But first, let's also see the whole run of the line following algorithm. With this course, we also do an introduction of using State Machine as a programming pattern.

Looking at the field we must first think of a strategy of solving this line following problem. There are rules that the robot must follow and these rules should be programmed in the robot. 

In this video we are showing how to use two light sensors to do basic aligning on a black line. This is always needed at the competitions. We also show an example for following a line with two sensors. 

This tutorial demonstrates how a robot could align to a black line. The code for the program is available in the course. Aligning to black lines is popular at robotics competitions like FIRST LEGO League as it is the primary way to know where you are on the field and to develop a program that is reproducible. The attachment uses Luly, a small LEGO Education SPIKE Prime competition robot with 3D building instructions as a robot base.