Training Conveyor Line for Modeling Automated Production Processes

• Purpose: desktop motorised conveyor module for prototyping miniature industrial production and studying flow assembly, automated sorting and logistics together with a training robotic manipulator
• Maximum payload: 500 g
• Effective conveying length: 600 mm
• Maximum belt speed: 120 mm/s
• Maximum acceleration: 1100 mm/s²
• Speed control: stepless, from the software environment of the manipulator
• Dimensions: 700 × 215 × 60 mm
• Weight: 4.2 kg
• Drive: stepper motor, connected to the stepper motor port of the training manipulator controller
• Power supply: from the controller of the training robotic manipulator to which the line is connected
• Photoelectric infrared object presence sensor: detection range 20 to 150 mm, discrete output signal — one when an object is in the detection zone and zero when the zone is free; supply voltage 4.5 to 5.5 V
• Colour sensor: recognition of red, green and blue, white LED illumination with switchable control, supply voltage 3 to 5 V
• Control: from the programmable controller of the training manipulator through the expansion ports for exchanging control signals; programmed stop or start of a branch of the robot scenario on the sensor signal
• Programming: single software environment of the manipulator — graphical blocks and text programming in Python
• Interface and learning materials language: Ukrainian
• Digital learning materials: 70 academic hours in a learning management system, access licence 12 months
• Base device: Dobot Mini Conveyor Belt, PRC, modified by UNOWA Sp. z o. o.

Kit Contents:

Conveyor Module

• Conveyor belt module, assembled: stepper motor drive with stepless speed control, effective conveying length 600 mm, maximum payload 500 g, maximum belt speed 120 mm/s, maximum acceleration 1100 mm/s², dimensions 700 × 215 × 60 mm, weight 4.2 kg — 1 pc

Sensors

• Colour sensor for sorting objects, recognition of red, green and blue, white LED illumination with switchable control, supply voltage 3 to 5 V — 1 pc
• Photoelectric infrared sensor for object presence detection, detection range 20 to 150 mm, discrete object presence output, supply voltage 4.5 to 5.5 V — 1 pc

Learning Objects, Tools and Cables

• Set of learning objects: wooden blocks in different colours — 40 pcs; demonstration positioning board for laying out the scene — 1 pc
• Tool set for assembly and belt tension adjustment: hex key for M4/M5 screws — 1 pc
• Cables for connection to the manipulator controller and for control signal exchange — 1 set
• User manual — 1 pc

Software

• Software with a Ukrainian interface: conveyor control from the single software environment of the manipulator, stepless belt speed control, programmed stop on a sensor signal, motion logic programming with graphical blocks and with text in Python

Product passport: ULABS-ROB-DE-5008 (PDF)

An AI assistant integrated into the learning management system works alongside the digital course. It is built on Retrieval-Augmented Generation (RAG) technology and forms its answers from a localised knowledge base aligned with the national curriculum of Ukraine.

AI Assistant Functions

• Task selection: automated selection of research tasks and experiments matching the topic of the lesson
• Methodological support: step-by-step description of the procedure for conducting experimental research
• Error analysis: identification of typical student errors and personalised recommendations for correcting them
• Adaptive difficulty: adaptation of task difficulty to different levels of student preparation
• Reports and conclusions: support in compiling reports on research results and in structuring the conclusions drawn from experiments
• Knowledge base: operation on a localised knowledge base aligned with the national curriculum of Ukraine
• Licence: right of access to the software and materials valid for 12 months
• Language: content, interface and learning materials in Ukrainian

The AI assistant is an integral part of the kit and is supplied with it. Access is provided on the edu.unowa.eu platform.