robotics  program

Here in our AI Engineer programme, students learn the basics of coding, robotics, and artificial intelligence through engaging hands-on activities. Learning to code can be a daunting journey especially for kids. Even some adults find it hard to grasp certain concepts and coding practices. More than often, the problem with learning to code comes from having little to no understanding how the code works and having an unstructured thinking process while coding.

Through the program, students will learn how each line of code is brought to life through the Robotmaster S1, one of the most advanced robot tank packed with a multitude of AI features. 

Scratch

Students with no knowledge of programming will start off by learning an easy drag-and-drop programming language called Scratch. With scratch students are able to build even the most robust programs and functions with little to no knowledge of coding.

​Scratch builds the foundation of structured logical thinking in students which will help them greatly in the long run as they move on to learn other coding languages.

​Python

​As students progress further through the program, they will learn to program the Robomaster S1 to complete tasks with Python, a simple yet powerful coding language. Students will learn the basic rules and methods of coding in python in the first few lessons and move on to more advance and engaging tasks.

Students will be able to activate AI features in the Robomaster S1 to complete tasks normal robot tanks are unable to do such as image tracking, selective targeting, and much more.

Curriculum

The AI Engineer programme will be 1 hour 45 minutes per lesson with a total of 8 lessons. At the end of the AI Engineer programme, students will have the following deliverables to help them in their future coding journey:

1. Personal Gmail account
2. Coding portfolio
3. Personal Google drive
4. Robomaster S1 final task video
5. Basic python lesson materials

This programme is advised for children aged 9 years old and above. 

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Robomaster  AI  features

People  recognition

​Thanks to advanced computer vision technology, the S1 is able to identify and track any individual you select in the S1’s FOV.

Marker  Recognition

​Recognize up to 44 Vision Markers which feature numbers, letters, and special characters that expand the possibilities for coding and combat.

Line  Recognition

​The S1 can be programmed to automatically follow a line on the ground. The more math and physics knowledge that is applied, the more adeptly the S1 will be able to complete this task.