Content for FLL

We continue the discussion of the Robot Design category from the FIRST LEGO League Competition. This time we stop on the programming - how to evaluate the programming of the team during its preparation for the competition.

With this series of videos we are looking at FIRST LEGO League 2013 Nature's Fury competition and we are building a robot for accomplishing some of the mission. It would be a tutorial with at least four parts and we are building a complex attachment that could catch, lift and release different parts with only one motor and rubber bands. Not one, not two, but three movements with only one motor. 

Extend the previously build attachment for the FIRST LEGO League (FLL) Nature's Fury competition so that we can move the Truck and Ambulance up and down. 

Rubber bands in the LEGO Mindstorms sets are very handy when it comes to collecting objects, especially loops. The mechanism most of the time could work like this - an axle is pushed, a rubber band is released and a lever collects the loop. 

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.

We've already build a number of resources for lifting at FLLCasts.com. But at the end of this course we would have a robot that lifts itself and hangs on the mission model.

Would you like to resolve all the problems with the light/color sensors that you have? And to make all of them work in a predictable, stable way even when using more than one MINDSTORMS colour sensors. 

When using Color sensors it is important to calibrate them depending on the light conditions in your venue. In this way, the calibrated sensor will show values between 0 and 100 independent of the light conditions. But using the default EV3 colour calibration available in the colour sensor block could lead to unpredicted problems that are difficult to track and resolved especially when used with multiple Color sensors. So in this series of tutorial we implement the calibration ourselves discussing the principles of colour sensor calibration.

Following the previous tutorials from the course, implement the calibration of the minimum and maximum values. 

Inertia triggered attachments does no require the use of a motor. Let the inertia do all the work. These kinds of attachments are very useful at robotics competitions like FIRST LEGO League and World Robot Olympiad. The robot moves, the attachment falls and grabs the ball. The attachment uses Luly, a small LEGO Education SPIKE Prime competition robot with 3D building instructions as a robot base.

The bench mission was one of the most difficult we've encountered, especially when it comes to accomplishing the mission reliably. The goal of the mission is to push the bench down, lift part of it and leave 4 boxes at specific places. The whole concept of the mission is awesome. Here is how we did it:

Using everything that we've learned about LEGO Education SPIKE Prime competition programming we arrive at the final boss mission - how do we consistently reach a mission model at the other end of the field. Consistently. Every time. We use line following, motion sensor, counting of lines and border alignment. All the different concepts that we've looked at separately are now implemented together.