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  • Robotino 4 - The robotic learning system from Festo Didactic ...

    • Mechatronics
    • Programming
    • Sensors
    • Motor and drive technology
    • Control engineering
    • Image processing
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  • ... with learning contents in the fields of automation technology, industrial engineering, machine and drive technology

  • Learning field 1: analyze electrical systems and check functions
    Learning field 3: Analyzing and adjusting controls
    Learning field 6: analyze systems and check their safety
    Learning field 7: Programming and implementing controls for systems
    Learning field 8: Select and integrate drive systems
    Learning field 9: Integrating control systems and communication systems
    Learning field 10: Start up and transfer automation systems
    Learning field 11: Maintaining and optimizing automation systems

    Additional Learning Fields for Autonomous Mapping and Automation in Development by 2020 Q2!

  • Learnable skills and competences:
    • Behavior and characteristics of components and modules
    • Function Check, Troubleshooting
    • teamwork
    • Information Collection and Processing Methods
    • Standards, regulations and rules
    • Technical Documentation
    • Measurement of electrical and non-electrical quantities
    • Control transfer functions of lines
    • Digital and Analog Signal Processing
    • Development
    • Program Simulation, Troubleshooting, Error Analysis
    • Plant safety through hardware and programming
    • Speed control, position control, controller parameterization
    • Kinematics


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    The course on Festo LX with numerous practical project tasks including solution suggestions and learning field assignment. The ideal guide to implementing this content in the classroom.
  • Project tasks
  • Commissioning a Mobile Robot System
    • Prepare a safe test environment for the operation of the mobile robot system
    • Selection of a suitable demo application
    • Configure a wireless LAN connection to the PC
    • Analyzing and scaling the sensor data using a virtual oscilloscope
    • Commissioning the camera system

    Motor Control
    • Analysis of the control circuit for motor control
    • Measuring and evaluating various electrical variables such as speed, motor currents, control parameters, etc.

    Power Transmission
    • Experiments with the omnidirectional drive: Vector calculation to touch
    • Forward, backward, sideways drive
    • Rotational motions, analyze kinematics
    • Positioning

    Sensor-guided path control
    • Departure of marked routes by inductive sensor
    • tracing a web using image processing, i. e. segment, extract and evaluate images for motion control
    • Collision-free path control using the nine distance sensors, the camera or the laser scanner