If you get to a solution that is too complex you should always try to improve it. This is what we are doing here. Arriving at a solution for aligning to the wall that has become too complex.
We explore some common mistakes when a program is developed and becomes complex. We then try to remove part of this complexity.
A human being walks with an average speed of about 5 km/h (3 miles/h). In this video tutorial we will develop a block for LEGO MINDSTORMS EV3, that measures the speed of the robot in distance/time units where time will be configurable and could be 1 second or 0.5 seconds or any other number of seconds you pass as a param to the block. Measuring the speed of the robot is very powerful if you start building an Artificial Inteligence for your robot and is quite fun :)
"Array initialization" is the first step in every program that involves Arrays. This applies to most programming languages and for EV3-G it is a must.
In this tutorial, we would show you how to initialize the array and how to extract this logic in a new block
We would continue from the previous program where we used variables and we would change this to arrays.
We would look at the rules of the competition over our small model and we would start solving the field.
We are programming this strange construction to move in a square. This is a basic task, but it is worth doing for a robot with motors placed in different directions.
If you look at the properties of the move block and the motor block LEGO Mindstorms NXT, you will see that they have much in common. Still they have several differences. You should be aware of these differences in order to choose the appropriate block for your needs.
In the course section for Advance Sensor Calibration we previously showed you how to find the minimum and maximum value for a single LEGO Mindstorms Color Sensor and to store this value in an array. The program was implemented with the EV3-G software. In this tutorial we are going to find the Min and Max for all the four sensors and to store all the 8 values in an array.
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.
Implement a program for stopping at a black line with the blocks containing the implementation details for the InitArray, Calibration and Getting the calibrated result.
Once you start turning how to do you a whole 180 degrees turn. The robot almost does it, but not completely
Robotics Game of Life – that’s the name of our new scientific journey. We are organizing a 14-sessions course (1 session weekly). The idea of the course is to develop a solution to the Conway Game of Life where the robots would actually play the game. Students will construct the robots by instructions and lots of imagination. Initial programs will be provided by us and modified by students.
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.
Programming the LEGO MINDSTORMS Robot Inventor for FIRST LEGO League competitions involves learning how to turn left and right with the robot. There are not precise turns. The robot will make mistakes, because that's what robots do. But nevertheless it is important to learn how to program the robot to turn. We are releasing an additional course that is focused only on programming and how to make the robot consistent in its behavior, but in this tutorial we stop on turning
This videos tutorials demonstrated the robot accuracy in 10 runs one after the other. 5 of them are with the robot moving slow and 5 are with the robot moving fast. See for your self what is the accuracy achieved only with the move blocks of the robot.
Following the Advance Light/Color sensors calibration for a minimum value for a single sensor tutorial, in this one, we continue with finding the maximum value detected by a sensor and storing this value in an array.
Нека направим програма, при която има движение напред и назад.
In this video tutorial we show how you can build robots that position on the field consistently and reliably by following and line and then aligning to a line. We also demonstrate the concept of "double align" which is quite powerful and even if there were some mistakes they will be handled.
On of the most precise ways to position on the FIRST LEGO League and other competition fields is to follow and align and in this tutorial we demonstrate exactly this - how consistent and reliable this method is to reach specific mission models. In this way you know that every time you will be at the right place, which is great.
You have the controller, you have the diode. The controller has a number of pins (holes). Where should you put the diode so that it starts blinking?
The small holes on the controller are called pins. On our controller we have 32 pins. The more pins that you have, the more elements you can controller with this microcontroller. For this video the interesting pins and 13 and GND
