Eridanus Educational Robotics Program

Eridanus Educational Robotics Program

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25/03/2026

New Feature of RoboPro Coding!

< Neural Network >

What is a Neural Network in ROBO Pro?

A neural network is a way to make a robot learn from examples instead of following only fixed rules like ifโ€“else commands.
In ROBO Pro (the graphical programming software by fischertechnik), a neural network is used to help robots:

-Recognize patterns
-Make decisions
-Improve behavior based on experience

Just like a human brain, the robot uses inputs, processes them, and produces outputs.

How it works (simple idea)

A neural network in ROBO Pro has three main parts:

1. Inputs
These are values from sensors, such as:

Light sensor
Distance sensor
Color sensor
Sound sensor

Example:

Light sensor = bright
Distance sensor = close

2. Processing (the network itself)

The neural network contains neurons
Each neuron has a weight (importance)
ROBO Pro adjusts these weights during training

This is where the โ€œlearningโ€ happens.

3. Outputs
These control robot actions, such as:

Motor speed
Turn left or right
Stop or move forward

Example:

Output = turn right
Output = slow down

Training a Neural Network in ROBO Pro

ROBO Pro usually uses supervised learning, which means:

You give input examples
You tell the robot the correct output
The robot adjusts its weights
After repeated training, the robot starts choosing correctly by itself

Example training task:

Input: Light sensor value
Correct output: Follow the black line

Over time, the robot learns lineโ€‘following without hard-coded rules.

ROBO Pro does not require math knowledge to use neural networks.

You use graphical blocks, connect sensors and motors, and let the software handle the calculations.

Learn Neural Network in ROBO Pro in our Robotics Summer Camp this May 2026!

Photos from ARISE - LSHS Robotics Club's post 18/02/2026
25/12/2025

From all of us at Eridanus Marketing, we wish every student, teacher, and school community a warm and meaningful Christmas season. ๐ŸŒŸ

Thank you for trusting us in your classrooms this year โ€” for allowing technology, creativity, and hands-on learning to be part of your journey.

Merry Christmas from the Eridanus Marketing family! ๐ŸŽ„โœจ

17/12/2025

A look back at an unforgettable milestone โ€” representing the Philippines at the 11th Robotics Championship. ๐Ÿ‡ต๐Ÿ‡ญ

Moments like these remind us why investing in STEM and robotics matters for our studentsโ€™ future.

Create more opportunities for young learners. Visit eridanus.marketing or email us at ๐Ÿ“ง [email protected]

04/12/2025

๐Ÿ’๐“๐‡ ๐๐€๐“๐ˆ๐Ž๐๐€๐‹/ ๐ˆ๐๐“๐„๐‘๐๐€๐“๐ˆ๐Ž๐๐€๐‹ ๐‘๐Ž๐๐Ž๐‹๐”๐“๐ˆ๐Ž๐ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“
๐…๐‘๐„๐„๐’๐“๐˜๐‹๐„ ๐‚๐€๐“๐„๐†๐Ž๐‘๐˜
๐๐‘๐Ž๐‰๐„๐‚๐“ ๐’๐€๐…๐„: ๐’๐„๐๐’๐Ž๐‘-๐€๐’๐’๐ˆ๐’๐“๐„๐ƒ ๐…๐‹๐Ž๐Ž๐ƒ, ๐…๐ˆ๐‘๐„, ๐€๐๐ƒ ๐„๐€๐‘๐“๐‡๐๐”๐€๐Š๐„ ๐ƒ๐„๐“๐„๐‚๐“๐ˆ๐Ž๐ ๐”๐“๐ˆ๐‹๐ˆ๐™๐ˆ๐๐† ๐ˆ๐Ž๐“-๐๐€๐’๐„๐ƒ ๐’๐˜๐’๐“๐„๐Œ

Team Members:
Rhanee Anne E. Anteza
Andrea P. Belolo
Angelica May D. Salvatierra
Coach: Ma. Grace P. Miranda-Santos
Biรฑan City Science and Technology High School
Bantai

๐—ฃ๐—˜๐—ข๐—ฃ๐—Ÿ๐—˜'๐—ฆ ๐—–๐—›๐—ข๐—œ๐—–๐—˜ ๐—”๐—ช๐—”๐—ฅ๐——
To vote for the People's Choice Award, just react heart .
But rememberโ€”your support matters! If youโ€™d like to stay updated on future events, feel free to visit the official pages of Erovoutika (https://www.facebook.com/erovoutika) and the International Robotics and Automation Summit (https://www.facebook.com/RobolutionX).
The Freestyle Category Competition is your chance to showcase your most unique, creative, and groundbreaking robotics projects! Whether itโ€™s AI-powered, IoT-integrated, or a completely new conceptโ€”this is your stage to shine!

๐Ÿ’ก ๐—•๐—ฟ๐—ถ๐—ป๐—ด ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ถ๐—บ๐—ฎ๐—ด๐—ถ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—น๐—ถ๐—ณ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—บ๐—ถ๐—ป๐—ฑ๐˜€ ๐—ถ๐—ป ๐—ฟ๐—ผ๐—ฏ๐—ผ๐˜๐—ถ๐—ฐ๐˜€!

๐Ÿ† ๐—œ๐—บ๐—ฝ๐—ฟ๐—ฒ๐˜€๐˜€ ๐˜๐—ต๐—ฒ ๐—ท๐˜‚๐—ฑ๐—ด๐—ฒ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ถ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜†, ๐—ฎ๐—ป๐—ฑ ๐—ณ๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น๐—ถ๐˜๐˜†!

๐Ÿ“… ๐——๐—ฎ๐˜๐—ฒ: ๐——๐—ฒ๐—ฐ๐—ฒ๐—บ๐—ฏ๐—ฒ๐—ฟ ๐Ÿฒ-๐Ÿณ, ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ

๐Ÿ“ ๐—ฉ๐—ฒ๐—ป๐˜‚๐—ฒ: ๐——๐—ผ๐—ป ๐—•๐—ผ๐˜€๐—ฐ๐—ผ ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐—œ๐—ป๐˜€๐˜๐—ถ๐˜๐˜‚๐˜๐—ฒ

๐—ก๐—ผ ๐—น๐—ถ๐—บ๐—ถ๐˜๐˜€. ๐—ก๐—ผ ๐—ฟ๐—ฒ๐˜€๐˜๐—ฟ๐—ถ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€. ๐—๐˜‚๐˜€๐˜ ๐—ฝ๐˜‚๐—ฟ๐—ฒ ๐—ถ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป.

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