Submerged

The "Submerged" category is designed for students aged 8 to 10. This competition encourages participants to engage in hands-on STEAM learning, test their skills through robotics, and develop critical thinking, coding, and design abilities. Additionally, the main goal of the competition is to ensure that participants have fun both during the preparation process and the event itself.

Age limit: 8-10 (for primary school students who will be at least 8 years old by November 1, 2025, and younger than 11 years old as of December 1, 2025.)

Coming soon

2 students and 1 mentor.

Developed skills

Through the RoboGames competitions, students develop engineering, programming, and critical thinking skills focused on solving real-world problems. The competition is based on the First LEGO League Challenge with the theme “Submerged,” and students complete a series of underwater simulation tasks using LEGO robots.

Using robots built with LEGO SPIKE technology, students enhance their ability to identify objects, navigate environments, and autonomously perform assigned missions. During the programming phase, they learn to think logically, plan, and build functional code structures using a block-based coding environment.

Alongside coding, students also gain essential engineering competencies such as tactical decision-making, task prioritization, and adaptive problem-solving under competition conditions. Each team tests and evaluates their robot’s performance and makes improvements as necessary.

RoboGames also promotes teamwork, collaboration, and leadership skills. Tasks are modeled on real engineering processes and involve systematic application of prototyping, testing, and iteration stages. Students additionally improve their documentation and technical reporting skills.

Interdisciplinary integration

Physics

Application of concepts such as motion, force, and torque in robot mechanisms

Converting sensor data on light, color, and distance into technical responses

Explaining energy transformations and underwater balance models in practice

Mathematics

Planning trajectories and working with coordinate systems

Creating mathematical models based on distance, angle, and time parameters

Conducting statistical analysis of test results and optimizing code

Technology

Constructing modular robots and designing them according to task requirements

Programming autonomous behavior systems and conducting phased testing

Using an iterative approach for developing and improving prototypes

Computer Science

Practicing logical and structured thinking in block-based programming environments

Reading sensor data and integrating it into decision-making processes

Designing functional and efficient programs through algorithmic thinking

ExplanationDate
Selection round(Coming soon)
Announcement of selection round results(Coming soon)