LEGO MINDSTORMS

We start a course for following a line with crosses and gaps. This is a challenge that one of the users at FLLCasts.com was trying to accomplish and asked us for advice. We present the whole challenge to you step-by-step. But first, let's also see the whole run of the line following algorithm. With this course, we also do an introduction of using State Machine as a programming pattern.

This robot has a color sensor and this sensor is used for following lines. Additional Mindstorms EV3 sensors could be place on the robot, like a Gyro sensor or a second Color sensor.

Five different robot chassis. This is the goal of the series. To present ideas for different design of the robots and especially the robot bases. If the base is stable and balanced, then in could easily be extended. Let's start with the most simple of the five. 

In this video tutorial we will show you three ways for making your robot stable on the field. We will present each one of them with their advantages and disadvantages - it's up to you to choose which one is the best for your case.

Second active pinless attachment for the robot construction. It is placed in the top/right corner of the robot and includes an interesting gear system for transferring the power. The attachment is suitable for complete rotations.

We should how to build a frame that could hold the attachments for specific competition missions. This frame is added in a pinless manner. This means very fast and easy without any glitches of the pins.

This is the first Active Pinless Attachment for the Box competition robot. The attachment is placed on the top of the robot and is controlled by one of the motors. 

In this episode, we introduce a LEGO Mindstorms EV3 version of competition robot construction. It is a modular construction, with medium motor for additional attachments and two light or colour sensors for orientating on the field.

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.