There are common patterns when working with LEGO Mindstorms Sensors that could be applied to Sound, Rotation, Gyro, Color and all the other sensors.
LEGO Mindstorms EV3 and NXT include many sensors. Use of the sensors is what makes the robot powerfull.
This is a 10 out of 10 video tutorial where we demonstrate the consistency and reliability of a LEGO Education SPIKE Prime Active attachment connected to the motors of the robot. The goal of this attachment is to accomplish the Bridge mission where we have to push both parts of the bridge and bring them down to connect them. We use some line following.
In this 10 out of 10 tutorial, we accomplish the Platooning Trucks from FIRST LEGO League (FLL) 2021-2022. The goal of the mission is to connect the trucks to each other and both of them to the bridge. The attachment and the robot pushes the trucks and we do it 10 times to see the consistency and reliability of the robot.
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.
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.
"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.
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.