Robot Competition Junior

Age limit: 10–15 (Participants must be at least 10 years old and under 16 as of November 1, 2026)

3 students and 1 mentor

Coming Soon

Developed skills
Within the framework of the Robot Competition kids competitions, students acquire a variety of technical and analytical skills. These competencies encompass both theoretical knowledge and practical engineering applications. Students develop the ability to autonomously detect and manipulate objects using the robot's sensors and mechanical components.
During the competition process, programming and strategy development skills are significantly enhanced. Working within a block-based programming environment, students learn to think logically about code structure and apply it effectively. Alongside programming, participants are encouraged to make tactical decisions that improve the robot’s task efficiency.
Moreover, activities are designed to foster critical and logical thinking, problem-solving, creative approaches, and collaborative teamwork. By working in groups, students strengthen their abilities in cooperation, shared responsibility, and leadership.
Students gain hands-on engineering experience through the programming of VEX IQ robots, the use of sensor technologies—particularly distance and color sensors—and the design and testing of mechanical arms. Throughout this process, skills such as prototyping, testing and iteration, and technical planning are refined.
By comparing test data with real competition performance, students develop engineering notebooks and reflect on their processes. This cultivates real-world engineering competencies including risk analysis, strategic decision-making, and efficiency assessment.
Interdisciplinary integration
Physics
Application of basic mechanics such as motion, force, and torque in robot design
Detection and interpretation of light and color using sensors, and transforming this data into mechanical responses
Exploration of energy transformations and mechanical equilibrium through experimentation
Mathematics
Use of coordinate systems and trajectory planning for robot navigation
Establishing functional relationships among measurements, distance, angles, and time
Statistical analysis of results and optimization strategies
Engineering and Technology
Modular-based robot construction and design techniques
Designing, programming, and sequential testing of autonomous systems
Creating and refining prototype models within the engineering design process
Computer Science 
Controlling robot functions using block-based programming
Reading, processing, and integrating sensor data into coded decision-making structures
Developing algorithmic thinking and strategic testing methodologies