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.
This is a third example for adding an active attachment. This third attachment is now connected to the wheel at the front of the robot. Again, the attachment could be easily extended.
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.
In Episode 58 we introduced you to an LEGO Mindstorms EV3 Modular robot. Mic Lowne wrote to us and had that robot remade, because it used too many blue lego pins and could not be build using one EV3 kit.
This is the first video tutorial from the LEGO Education SPIKE Prime programming course in which we use a sensor and we've selected to use the motion sensor. The Motion sensor is allows us to detect how the robot is turning in a 3 dimensional space time continuum or to put it simply - we use it to move straight with the robot. That's it. We want to move straight - we use a sensor, and the Motion Sensor is a good choice.
This is a very interesting idea that is worth sharing with the rest of the teams and the ELM team has provided it to us. Check out how they drop a LEGO human at a specific place.
In this 10 out of 10 tutorial we demonstrate the accuracy of the robot when we use acceleration in its movements. The robot has not sensors attached to it and it is not making use of it's internal sensors. The goal of the tutorial is to give you the understanding and to make a demonstration of how difficult it is to consistently reach a mission model without the use of sensor even when we use acceleration.
Need to transfer circular into a linear motion. You need a rack. Here is an attachment with a rack for our box robot.
In this video tutorial we follow a line 10 consecutive times. In this way we demonstrate whats the consistency that you could expect from the robot when following a line with a multi-states algorithm.
The last fifth construction is larger compared to the previous constructions. It is wider. It has four sensors and you can take a larger load all by keeping the robot stable.
On the topic of following lines with a robot there is a way to make the robot follow the line a little more precisely. This method is called "Multi-states" program. Or at least we call it like this. In this tutorial you will see how we program 5 state for the robot line following program. This could be particularly important with FIRST LEGO League competitions where we must build consistent and reliable robots.
This is one of the very interesting attachments by the ELM team. It is using rubber bands and some rubber to precisely drop the chicken. Very interesting way. Check it out and try to learn from it.
With this 10 runs we demonstrate the consistency and reliability that could be achieved with a LEGO Education SPIKE Prime robot and a 2-states simple line following algorithm. It is not bad. Still there are some things you should consider when using this program and one of the things is the use of the timers
The attachment builds on previous episodes this time using two LEGO rubber bands. When a lever is released the rubber band exerts pressure on it and moves it in a circular motion. As an example we are solving the 2012 FIRST LEGO League, Senior Solutions, stove mission (which was quite interesting as a mission)
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.
Based on feedback from many of you in this episode I would like to show you how to build an active attachment that changes the orientation of a gear wheel placed vertically to a gear wheel placed horizontally. This attachment could be used in competitions and shows a basic principle of changing the orientation. All attachments could follow the same principle.
We use a sensor so the robot must be reliable and accurate right? Wrong. The robot is not reliable and accurate only because we use sensors and that's really important during FIRST LEGO League competition. There is a reason for this and in this tutorial we demonstrate and explain how the robot behaves with a basic use of the Motion Sensor to move straight. As a result you will learn why is it important not to stop at this stage and to go to the next level with more advance use of sensors.
In this video tutorial we use the LEGO Education SPIKE Prime Motion Sensor to reach a mission model on the field. It's a basic use of the motion sensor that we will extend in the next few tutorials and in the same time we take the opportunity to demonstrate what a MyBlock is and how to develop one. As a result of this video you will learn how to make the program easier to read and maintain by organizing the blocks in the program in special MyBlocks that couple them all together.
In this course you will be working with other students in the group. These might be your classmates, teammates or students you know from other activities. It is important to know your group so that you could work together with them in the best possible way.
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.
One of the easiest ways to improve the accuracy of LEGO Education SPIKE Prime robots is to use acceleration and deceleration when moving. This also applies to LEGO Mindstorms EV3 and LEGO Mindstorms Robot Inventor and generally to most robots that we know of. This tutorial demonstrates how acceleration and deceleration could be used and what improvement in accuracy and consistency you could expect. This is quite useful for FIRST LEGO League and other robotics competitions.
Each year the FIRST LEGO League robotics Competition involves loops. In this video tutorial I will go through the most common way of taking loops, show its disadvantages and suggest another way to do it.
In this video tutorial we take a look at the consistency of a robot that uses acceleration and deceleration to turn precisely. We use the motion sensor. In 10 consecutive runs we demonstrate what could you expect from the robot when it comes to consistency.
This tutorial in an animated demonstration of how a LEGO Education SPIKE Prime moves forward. To download the program check out the courses in which the tutorial is used.
In this video tutorial we explore acceleration and deceleration and how to make the robot turn precisely by using acceleration and deceleration. The goal is for us to demonstrate a program that turns the robot to 90 degree. In the first 45 the robot is accelerating and in the second 45 it is decelerating.
In this video lesson I am building a LEGO Mindstorms EV3 active attachment powered by a small gear wheel. The attachment could move up and down, it is very useful for collecting objects. It could easily be adapted and used on other robots.
We are making a parallel with Video Lesson 56 from the series and we are also showing ways to improve the stability of an axle which is most of the time neglected, but could lead to great problems.
This LEGO Education SPIKE Prime video tutorial demonstrates the difference in turning slow and turning fast and using the Motion sensor to understand the orientation of the robot. We do 10 consecutive runs. The goal is to understand what can you expect from the robot behavior in terms of consistency.