FLL 2021: Scratch (Word Blocks) program to solve the Cargo

FLL 2021: Scratch (Word Blocks) program to solve the Cargo Connect M09 Train Tracks mission with sensors

The program uses the light and color sensor along with the motion sensor to accomplish the mission. It contains a few interesting tricks on detecting lines and configuring the behavior of the robot with specific params.

How to open?

Programs with extension *.llsp could be opened with version 2 of the LEGO Scratch Word Blocks software. It is also known as 'SPIKE Legacy'. You can download it from LEGO website. You can also visit spikelegacy.legoeducation.com to use it online Note that this programs are incompatible with version 3 of the software.

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#j8zonx
21 Feb 2023

Курсове и занятия включващи този Програма

Този Програма е използван в следните курсове и занятия.

FIRST LEGO League 2021-2022 Cargo Connect solutions and review with LEGO Education SPIKE Prime

In this course, we demonstrate and explain example solutions for the FIRST LEGO League 2021-2022 Cargo Connect competition. Just like every year, we share solutions only after the season is over. In this course, you will find examples and principles of building attachments and will learn how to program consistent and reliable robots for each mission. You can follow the course, and as you go through each mission, try to replicate the solutions to understand the programs and explanations. Upon completion of the course, you will have many new ideas about how to approach the missions in every FLL robotics competition and how to help your team score more points.

Before starting this course, we suggest you go through the FIRST LEGO League robot game guide

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M09. Train Tracks - 100% consistent behavior with more sensors

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.