Labyrinth Master
A competition category for high school and university students where participants develop autonomous maze-solving robots to demonstrate pathfinding, sensor usage, and decision-making capabilities.
🎯 Objective
Maze-solving robots provide an ideal platform for developing skills in sensor technologies, motor control, pathfinding algorithms, mapping, and autonomous decision-making. The objective of this category is to enable students to gain technical competence in autonomous systems and embedded software.
🧩 Theme
In the competition, an autonomous robot starting from the designated start point is expected to complete a maze consisting of a black floor and white walls in the shortest possible time with the fewest penalties. Robots must reach the finish point by making their own decisions within the maze.
👥 Participation Requirements and Team Structure
- ✔ Open to high school and university students
- ✔ Teams consist of 2 students + 1 advisor
- ✔ Only 1 competitor is allowed in the competition area
- ✔ Advisor requirement for university teams is defined in the Application Guideline
⚙️ Technical Specifications and Restrictions
🏁 Competition Area and Tasks
- The maze matrix consists of 8 × 16 cells
- Each cell measures 20 cm × 20 cm
- Walls are white and the floor is black
- Dead ends and closed cells may be present
- The track structure may be modified in the final round
🏆 Competition Format and Evaluation Criteria
- The competition consists of a Qualification Round and a Final Round
- At the end of the qualification round, the top 60 robots advance to the final
- For robots that complete the maze, time plus penalties are considered
- For robots that do not complete the maze, time is calculated based on the last reached cell
- In case of a tie, the lighter robot ranks higher