In this video tutorial, we would do a few experiments with the coefficients for the Integral compensation. There are actually two coefficients - "c" and "b"
Football with robots could be quite fun. Football with LEGO Mindstorms robots is one of the popular categories for competitions with LEGO Mindstorms Robots.
We keep the robot orientation straight while moving, but when we stop the robot could be in a different orientation. This applies for both using the Mindstorms Gyro Sensor when moving straight or the Mindstorms Color sensor when following a line. In this video tutorial, we will do a few examples of when an how this could happen.
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.
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.
Next state in our state machine programming pattern is the "Turn Left" state and the corresponding behaviour.
Let's record the values of the Gyro Sensor while the robot is moving and is trying to keep its orientation straight. This is an interesting experiment and we will have to use file access to write the values to a file.
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.
This video tutorial is about understanding the "magic". In this video tutorial, we would conduct an experiment and will look at how exactly does the integral part of the PID algorithm compensate for the error that the LEGO Mindstorms EV3 robot makes.
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.
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.
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 I would like to show you a way to solve the FLL 2012 Medicine mission using an LEGO Mindstorms NXT Ultrasonic Sensor and a system of gears that converts circular motion to linear.
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.
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.
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.
With this video tutorial we start the course for LEGO MINDSTORMS Robot Inventor and how to successfully program the robot for FIRST LEGO League robotics competition. It is good to have SPIKE Prime or EV3 for the competition. But if you happen to have Robot Inventor, don't be discourage. It is still possible to participate and accomplish a lot with the set.
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.
"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
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.
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
As an exercise try to implement the calibration of the minimum and maximum values for a single sensor.
Implement the program for array initialization.
Follow the video tutorials for initializing arrays and implement the program.
Following the previous tutorials from the course, implement the calibration of the minimum and maximum values.