In this video we are solving part of the FIRST LEGO League Senior Solutions challange missions (FLL 2012) using LEGO Mindstorms NXT robots. I make a step by step explanation of each move I make. The goal of this video is to help you with ideas and suggestions on how one should look at the missions.
The robot works on the field and decodes the different colours that represent the rows and the columns.
We start with FIRST Technical Challenge and how you develop programs with the GamePads. It is up to you to decide how sticks, buttons and triggers from the GamePad will control the different motors of the robot and there are different decisions that you should make.
After we have introduced a menu in the previous video, this video focuses on storing the values in an array. It presents a basic use of arrays.
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.
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.
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
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.
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
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.
Нека направим програма, при която има движение напред и назад.
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.
