Go to the missions model. Do the missions. You can then continue to the next mission or wait a few seconds at this FIRST LEGO League 2015 Trash Trek mission model and receive a few more points. Isn't it interesting. The ELM team has build a LEGO Mindstorms attachment for this robot. Let's see how it works.
There are many loops in the FIRST LEGO League competition. In this video we collect some of them by following the idea of the ELM team.
You can collect the car for scrap or repair it. The ELM teams decide to repair it. This requires them to place the engine in the car and it's very interesting to think about this problem.
This is a very interesting idea that is worth sharing with the rest of the teams and the ELM team has provided it to us. Check out how they drop a LEGO human at a specific place.
You need to pull. And also catch. You need a carabiner. We have done a number of videos on carabiners and this is one of the ideas for the FIRST LEGO League 2015 Trash Trek competition.
Many FLL competitions have a mission for demolition. You should always destroy something, but destroy it in a regulated manner and probably collect the destroyed mission model after that.
This is one of the very interesting attachments by the ELM team. It is using rubber bands and some rubber to precisely drop the chicken. Very interesting way. Check it out and try to learn from it.
In this video we discuss part of the pinless attachments build by the ELM team. Without pinless attachment it is nearly impossible to achieve a good score at the FIRST LEGO League competition.
In this series we will do a short demonstration on the FIRST LEGO League Trash Trek 2015 solutions by one of the teams. These are example solutions with good tips and tricks along with some interesting strategies and videos directly from the team
We discuss the state of "Lost" and the different ways we could escape this state. We also build the next step of our State machine programming pattern where the next state is determined by the previous state.
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 can Turn Right. We can Turn Left. How do we decide which way to go if there are lines both to the left and to the right. Check out the video.
Next state in our state machine programming pattern is the "Turn Left" state and the corresponding behaviour.
Next important state is Turn Right with our robot. This happens when we detect a line on the right.
The last fifth construction is larger compared to the previous constructions. It is wider. It has four sensors and you can take a larger load all by keeping the robot stable.
We've detected the gap. It's time to move over it. This is difficult because we have to detect where the line is after the 0.1 meters gap on the line following field.
Probably the robot I like the most from this series of five robots. See the video to understand why and what is interesting and special about this robot.
It's inevitable. While following this gapped line we would reach a gap. The robot must somehow understand that there is a gap and must make a decision on what to do. For detecting the gap we use the Rotation Sensor. Not the most popular, but very convenient in many cases. Check out the video.
The final video from the course. The robot escapes the state where it is lost. This happens if it can not continue in any direction.
The third robot has the brick and motors placed vertically. This is quite unusual and difficult, but the construction is very powerful because it saves space.
We follow a line. We start from the Smooth Proportional Line Following program and modify it a little for this program. We follow the line with the middle sensor attached on port 2.
The second construction of the series along with a comparison with the first construction. The new robot requires more parts, but has a few more advantages.
We extract the Proportional Line Following algorithm into a new block with parameters. This allows us to experiment with the Threshold, Constant Speed and Relaxation Coefficient. You can now easily use the block in you other programs without having to implement it.
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.
We list the number of decisions that the robot is making while following the line. Then, we group them and decide on the number of sensors to be used.
Looking at the field we must first think of a strategy of solving this line following problem. There are rules that the robot must follow and these rules should be programmed in the robot.
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.