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.
Tasks on using the LEGO EV3 Mindstorms Color sensor. Quite fun and useful for different STEM classes or just to get to know the sensor.
Would you like to resolve all the problems with the light/color sensors that you have? And to make all of them work in a predictable, stable way even when using more than one MINDSTORMS colour sensors.
When using Color sensors it is important to calibrate them depending on the light conditions in your venue. In this way, the calibrated sensor will show values between 0 and 100 independent of the light conditions. But using the default EV3 colour calibration available in the colour sensor block could lead to unpredicted problems that are difficult to track and resolved especially when used with multiple Color sensors. So in this series of tutorial we implement the calibration ourselves discussing the principles of colour sensor calibration.
It's inevitable. While following this gapped line we would reach a gap. The robot must somehow understand that there is a gap and must make a decision on what to do. For detecting the gap we use the Rotation Sensor. Not the most popular, but very convenient in many cases. Check out the video.
In this video tutorial I give a step-by-step explanation of how to implement a block for aligning to a line. The block was first used in lesson 28. Aligning to lines is probably the most powerfull way to know the position of the robot on the FLL Competition field and to be able to execute the missions precisely at 100% of the time.
We've detected the gap. It's time to move over it. This is difficult because we have to detect where the line is after the 0.1 meters gap on the line following field.
"What is the light in the room?" - should it even matter. You can use one program for all lighting conditions by calibrating the color/light sensor of the LEGO Mindstorms EV3/NXT robots.
Next important state is Turn Right with our robot. This happens when we detect a line on the right.
This second part continues with importing two previously developed in Episode 53 blocks into our program. With them we can for align to lines. We program the robot to align to the cross line and start following it.
We can Turn Right. We can Turn Left. How do we decide which way to go if there are lines both to the left and to the right. Check out the video.
Next state in our state machine programming pattern is the "Turn Left" state and the corresponding behaviour.
All worked as expected, up until know because the robot got lost. This happens when we turn right and the line does not continue to the right. Now the robot must somehow understand that it is "lost" and escape.
The telephone game played with LEGO Mindstorms EV3 robots relies on the Color Sensors and the detection of colors. Sometimes the robots won't work. They could be influenced by a number of factors like the position of the sensor and the lighting in the room. This tutorial is a demonstration on how to account for and resolve this issue.
After several questions about the use of the LEGO Mindstorms NXT Light Sensor with the EV3 software, we have decided to go through this problem in this video tutorial and pay special attention to the Raw Sensor Value Block.
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.
We discuss the state of "Lost" and the different ways we could escape this state. We also build the next step of our State machine programming pattern where the next state is determined by the previous state.
In this episode we do a full run of the mission for collecting a single treasure before going into explanation on how we have programmed the robot.
In this tutorial, we would implement a program that finds the minimum and maximum value detected by the sensor and stores this two values in an array.
In this video tutorial we run the robot for 10 times and we demonstrate the consistency of the robot behavior with our advanced algorithm for smooth line following. What you will get from it is an understanding and demonstration of what can you expect from the robot.
To win the FLL robotics competition you should surely use light sensors for navigating on the field. But the performance of the light sensors is affected by the surrounding light which means you might get different results on the training and on the competition table. This is where calibration is useful. In this video I will show you an easy way to do calibration along with a few examples.
The final video from the course. The robot escapes the state where it is lost. This happens if it can not continue in any direction.
As an extension to the previous video we talk about the Hi Technic Color Sensor again.
Many times we just upload blocks and leave it up to you to use it. In this tutorial, I would like to show you how to use the implemented blocks. How to import them into the EV3-G software. How to see them in the palette. How to drag and drop them to build a working program.
In this video tutorial we demonstrate the classic algorithm for following a line with robots. It is widely used in FIRST LEGO League competition and could be applied to LEGO Education SPIKE Prime and to other robots also. The algorithm follows a line by moving to the left and to the right and trying to stay at the edge of a black line.
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.
Vision is still one of the very few fields where a human being could outsmart a computer. Still. Colour/Light sensors are the cornerstones of implementing a smart LEGO Mindstorms robot that could at least partially do "vision". In this video tutorial, we are using the robotics sensor to detect loading and unloading of the catapult.
