This is a 10 out of 10 tutorial, where we demonstrate the consistency and reliability of an attachment activated when we reach the mission model. We do not use a motor. We activate the attachment by pushing the robot to the mission model of the FIRST LEGO League 2021-2022 Cargo Connect Home Delivery Mission.
In this video tutorial, we demonstrate an attachment that is activated when we reach the mission model. That means the attachment is not activated by a motor but by the movement of the robot. We accomplish the FIRST LEGO League 2021-2022 Cargo Connect Home Delivery mission model, where we have to move and bring cargo to the mission model and leave the cargo there.
This is a 10 out of 10 video tutorial demonstrating the consistency and reliability of a configurable attachment. The attachment is designed to accomplish the FIRST LEGO League 2021-2022 Cargo Connect mission model called Sorting Center. The mission model has 3 cargo objects that could be placed in a different way. The attachment is configurable and before the run we configure it for the specific way in which the mission model is set up before the start of the round.
In this video tutorial, we demonstrate a configurable attachment used for accomplishing a FIRST LEGO League 2021-2022 Cargo Connect mission called Sorting Center. The mission model has three cargo objects that are placed randomly. The attachment is configured before the run based on the configuration of the cargo objects. This attachment is also very powerful as it aligns and auto-corrects the errors that the robot is making by squaring the robot.
This is a recording of a completely perfect, 10 out of 10 accomplishment of a two-part mission - Train tracks, from the FIRST LEGO League 2021-2022 Cargo Connect competition. Due to the proper use of motion and color/light sensors, the robot is 100% consistent and reliable for a non-trivial mission. Even when the robot makes a mistake, it auto-corrects and compensates for this mistake.
This tutorial explains the use of motion and light/color sensors to accomplish a complex mission split into three parts. It gets into detail about how we keep a straight line with the motion sensor, follow a line with the color sensors, and transition between different parts of the program by aligning and detecting lines with the sensor. The goal is to get to a reliable and consistent behavior of the robot. On top of that, it is configurable, as we've left a few parameters that could be set to configure the behavior for a specific robot, venue, lighting, battery level, and wheels friction.
"Sometimes it works, sometimes it does not work" - this is the most common case in FIRST LEGO League competitions. In this tutorial, we demonstrate and discuss such a case where the first part of accomplishing the mission always works but the second part has about 60-70% success rate. The robot is not very consistent. Let's take a moment to see it and explain why so that we can resolve the problem in the next lesson.
In this video tutorial, we use the motion sensor and demonstrate 10 out of 10 times how we can keep the robot moving in a straight line. The program is described in the previous tutorial in the lesson where we enter into the programming. Here we visualize how consistent and reliable the behavior of the robot is.
Every part has its place in the box and you should return all parts to where they belong.
In this video tutorial, we use the Unload Cargo Ship mission from FIRST LEGO League 2021 Cargo Connect robotics competition to demonstrate how we program the robot to keep a straight line while moving. Do we need that for this mission? Probably not, but we do it either way to demonstrate the solution in a fairly simple mission. The program uses the motion sensor to auto-correct the errors the robot is making while moving.
What if the robot could make a mistake and still accomplish the mission? That is what we demonstrate with this tutorial - a few principles for error tolerance and self-correction. Even though we start the robot from a few different places, we manage to complete the mission with the same program every time. We use the LEGO Education SPIKE Prime robot, and we continue directly after the 10 out of 10 tutorial
This is a 10 out of 10 tutorial for pushing gently on a mission model. We also discuss how to build robots that tolerate error and auto-correct their behavior.
In this video tutorial, we demonstrate how to gently push an object to accomplish the mission. "Gently" means that we are pushing but not with force. If we push using force, the mission model will fall, and we will not accomplish the mission. We use LEGO Education SPIKE Prime and the Ultrasonic Sensor.
With this first tutorial on the Motion Sensor in the LEGO MINDSTORMS Robot Inventor course we demonstrate the basic algorithm for moving in a straight line with the Motion Sensor. From here all the other algorithms are modifications, and if you know the basic it will be easier to tweak the behavior for your particular challenge
This is a 10 runs tutorial that demonstrates how the accuracy of the robot improves when we use slow acceleration vs fast or default acceleration. Note that the improvement is small. This is not an accurate and consistent robot. No. This is a robot that is all but accurate or consistent. It does not use sensors and you should use sensors. But it is a teaching/demonstration moment for everybody to seen what is it that you can expect if you don't use sensors.
In this video tutorial we are demonstrating the impact of slow and fast acceleration on the robot. In the Scratch program there is an acceleration block for fast and slow acceleration. The robot behaves in different way. Let's explore them so that you know what to use for FIRST LEGO League competitions.
This is a tutorial with 10 runs - 5 of them are slow and 5 of them are fast and we measure how accurate the robot is each time. How consistent is it? Can it arrive consistently on a specific location on the field without the use of the sensors? The quick answer is - No, it can not. But let's see it life
In this video tutorial we use a LEGO MINDSTORMS Robot inventor robot and we do an experiment and a demonstration with it. We demonstrate what is the difference in the consistency and accuracy of the robot when we move slow and when we move fast. For FLL, WRO competitions there is always this balance between moving fast and moving slow.
This is a 10 out of 10 tutorial, demonstrating the consistency and reliability of the active attachment for switching the engine in this mission. The power is transferred through a system of gear wheels to a lever at the end. We presume that the robot is already positioned.
This video tutorial demonstrates an attachment that flips a mission model. The mission model is attached to the field, but it contains a lever. This lever must be flipped from one side to the other. There is a switch. We use a pinless active attachment with gear wheels, and you can see how this works in the tutorial. There is no use of sensors as we don't need them. We will leave the alignment and positioning for some other tutorials.
This video tutorial demonstrates the consistency and reliability of the active attachment that pushes the two mission models. The goal is to use both the attachment and the robot to push the mission model and move the truck and the plane after the blue lines.
