Robot design

On this page you will learn everything important about our robot, how it is programmed and more.

We use this page to present the most important of these to the judges at our competitions.

Because it is extremely important to us to share our knowledge with you,

we wrote this website.

We discuss our strategy together at the beginning of each season. It then evolves over the course of the season, for example, by adding more runs.

Our strategy

We make sure to plan only short and therefore reliable runs

It is also very important to us that we only approach each area of the mat once

Furthermore, we tried to solve as many tasks as possible at the same time in our runs

Module development

Collect ideas

When we want to develop a module, all designers gather together and collect ideas and suggestions for solutions

Prototyping

Next, we build various mechanisms as prototypes and try to find the best possible solution and, if necessary, improve it

module

After we've created a good prototype, we build the finished module. Small improvements are also made there.

Test phase

During the extensive testing phase, we test our robot to identify errors as quickly as possible

Error management

YouTube

We use various YouTube videos to gain further skills

Github repositories

In order to acquire such a broad area of expertise for Lego robot software, we have used various Github repositories

Experts

Contact

OStR Marco Grees

Gymnasium Gars

Roboticboys

MANO Sapiens

Marbots

R2D2

If errors occur, we contact our various experts. These include the Roboticboys, the computer scientists, the ManoSapiens (Dieter Goedel) and the MarBots (Jannik Goldbach).

Version management

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Robot-C

After gaining some experience with the roof finale, we decided to use Robot-C with the EV3. One of the reasons for this was the short time required to query the sensors using the C programming language.

Pybricks

After first encountering Pybricks during WRO 2024, we were immediately impressed by the precision and features of the software.

We quickly learned more and more about it and used our knowledge to write innovative programs.

Pybricks in VSCode

Ultimately, when we were looking for ways to use Pybricks even more professionally, we came across Visual Studio Code, which offers a professional development environment and the familiar Pybricks features. We will definitely continue to use this in the future.

Robot-C

After gaining some experience with the roof finale, we decided to use Robot-C with the EV3. One of the reasons for this was the short time required to query the sensors using the C programming language.

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Pybricks

After first encountering Pybricks during WRO 2024, we were immediately impressed by the precision and features of the software.

We quickly learned more and more about it and used our knowledge to write innovative programs.

Pybricks in VSCode

Ultimately, when we were looking for ways to use Pybricks even more professionally, we came across Visual Studio Code, which offers a professional development environment and the familiar Pybricks features. We will definitely continue to use this in the future.

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Lego Education

Until two years ago, we used the Lego Education software with Scratch. Recently, we gained valuable experience with advanced controllers, such as the PID controller for our gyro control.

Robot-C

After gaining some experience with the roof finale, we decided to use Robot-C with the EV3. One of the reasons for this was the short time required to query the sensors using the C programming language.

Pybricks

After first encountering Pybricks during WRO 2024, we were immediately impressed by the precision and features of the software.

We quickly learned more and more about it and used our knowledge to write innovative programs.

Pybricks in VSCode

Ultimately, when we were looking for ways to use Pybricks even more professionally, we came across Visual Studio Code, which offers a professional development environment and the familiar Pybricks features. We will definitely continue to use this in the future.

PID controller

kp = constant
kd = constant
ki = constant
target = 0

error = target - angle
integral = integral + error
derivative = error - last_error
correction = (error * kp + integral * ki + derivative * kd)

last_error = error

The PID controller is a versatile controller that allows you to reach and maintain a target value without significant fluctuations. A significant disadvantage of this controller is the need to precisely adjust the constants, which is very time-consuming.

We use the PID controller for example for our straight driving with the gyro sensor, as well as in our line follower

navigation

With our proprietary navigation system, you only ever enter the target angle to which the robot should rotate. Sensor values such as the rotation sensors and gyro sensors are only reset at the beginning of each run to ensure optimal alignment and continuously correct deviations.

This is made possible by, among other things, the precise calibration of the gyro

speed

Our unique and innovative speed calculation solves all problems, such as the play of the Lego motors.

The function automatically adapts to the given acceleration ranges. We developed this function in Geogebra