STEM Coding Ultimate AI Add On: Mobility

Mobility Expansion Set for STEM Coding Ultimate AI

The Mobility Add-On opens up new possibilities for developing and programming your own robots. With STEM Coding Ultimate and the Mobility Add-On, you can create four versatile mobility models designed to be actively put into operation. This allows you to build various mobile robots that perform a wide range of tasks, such as soccer robots, shooting mechanisms, or drawing robots.

A special feature of this set is the Omniwheels: They are driven by four encoder motors and allow the robot to move freely in all directions. The TXT 4.0 controller from fischertechnik expands the system with the modern programming software ROBO Pro Coding, which provides numerous new functions. The learning experience is complemented by seven hands-on experiments, including detailed solutions.

Number of students

2-4 per modular system

Learning Objectives

Control of omniwheel vehicles, image processing and control technology

Time required

Each task contains detailed time specifications for lesson structuring

Grade level

Secondary level

Product Information

Didactic accompanying material

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Topics and learning objectives

Task 1: Mecanum Omniwheel Vehicle with Obstacle Detection

Topic: Control of a vehicle with Mecanum omniwheel wheels and obstacle detection.

Learning objectives:

Understanding the functionality of Mecanum omniwheel wheels and obstacle detection.

Clear programming through state variables and functions

Detection of lines and obstacles with sensors (infrared, ultrasound)

Navigation via motor impulses
Task 2: Line Follower

Topic: Digital control of the vehicle and proportional (and PD) regulation of the drive along a black line; detection and response to obstacles.

Learning objectives:

Simple three-point control using digital sensors

Addition of obstacle detection (ultrasonic distance measurement)

Analog control using line detection (camera with image evaluation)

Calibration of a P and a PD controller
Task 3: Painting Robot

Topic: Control of the Mecanum Omniwheel vehicle for drawing geometric shapes and predefined lines.

Learning Objectives:

Use of functions for clear program design

Modeling and calculation of vehicle control (trigonometry)

Design of data structures
Task 4: Ball Robot

Topic: Image evaluation for distance measurement and target alignment.

Learning Objectives:

Experimental analysis of a task

“Computational Thinking”: Breaking down a complex task into manageable and solvable subtasks that are ultimately combined (principle “divide and conquer”)