The reason why you would want to watch this tutorial is because it demonstrates one of the most reliable ways to know where you are on the field and to accomplish missions successfully and this is aligning to a line. In the tutorial you will also see how a parallel program is developed and who parallel programs could be used in a meaningful way.
Continuing with the Proportional algorithm for following lines. Smooth and stable this is the first part of the PID.
Next state in our state machine programming pattern is the "Turn Left" state and the corresponding behaviour.
This tutorial explains the use of motion and light/color sensors to accomplish a complex mission split into three parts. It gets into detail about how we keep a straight line with the motion sensor, follow a line with the color sensors, and transition between different parts of the program by aligning and detecting lines with the sensor. The goal is to get to a reliable and consistent behavior of the robot. On top of that, it is configurable, as we've left a few parameters that could be set to configure the behavior for a specific robot, venue, lighting, battery level, and wheels friction.
How do you detect a cross-section and move from following the main line to following the crossing line. In this series of video tutorials we are starting with a very simple solution that could work in most of the cases. It is especially useful for the FIRST LEGO League Trash Trek competition where there is such a section.
We show the principle of solving the next FIRST LEGO League (FLL) Nature's Fury 2013 competition missions. Again, without any programs, but just the principles of using one attachment for most of the missions.
In this tutorial we will go through a solution for three of the missions from 2012 FIRST LEGO League competition using only one attachment. By accomplishing the medicines, strength exercise and cardiovascular missions we earn 55 points. You can download the programs from the link in the Materials tab.
Based on a request from Abdulah we decided to build a tutorial on how to use Hi Technic Color Sensor and EV3-G Software. There is a special block imported in the software that helps you use the sensor.
This is one of the last tutorials in the LEGO Education SPIKE Prime programming for Competitions course and it demonstrates what we've all been waiting for - how to reach a mission model from base in a reliable and consistent way when the mission model is on the other end of the field. Naturally what we use are all the different concepts that we've learned in the course and the tutorial is more advanced than the other so if anything is not clear take a look also at the different tutorials an concepts in the course.
This is a 10 out of 10 video tutorial where we demonstrate the consistency and reliability of a LEGO Education SPIKE Prime Active attachment connected to the motors of the robot. The goal of this attachment is to accomplish the Bridge mission where we have to push both parts of the bridge and bring them down to connect them. We use some line following.
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.
In this video we are solving Senior Solutions missions: Stove, Gardening, Similarity recognition, Ball game and Wood Working. We will make step-by-step of everything we do on the FLL field.
Let's implement a more advanced program for this robot to learn how to use with motors in opposite directions - and this is to implement the Proportional Line Following algorithm.
We would see how both satellites work together on the World Robotics Olympiad competition. They must both follow different orbits and must cooperate for the mission to be accomplished.
This video tutorial contains the final 2 programs for moving straight with a LEGO Mindstorms EV3 robot. The first program is for proportional compensation that just keeps the robot orientation straight, while the second program is for Integral compensation that returns the robot to the straight line when the robot makes a mistake.