QTLab Products

Educational engineering equipment for real laboratory practice.

Explore QTLab training stands, laboratory workstations, robotics systems, automation equipment, and software-connected learning solutions for schools, colleges, universities, and training centers.

QTLab asynchronous motor control training stand with PLC, HMI, frequency drive, laptop, and motor

Automation Training Stand

Asynchronous Motor Control Training Stand

The training stand is designed for studying asynchronous motor control using a programmable logic controller (PLC) and a frequency drive. It helps students explore speed regulation algorithms, feedback operation, frequency drive parameters, and modern intelligent control methods for electric drives.

PLC-based control
Frequency drive setup
PID regulation
AI-assisted electric drive control

Stand Composition

  • Operator panel (HMI)
  • Programmable logic controller (PLC)
  • Frequency drive
  • Unified analog signal generator
  • Asynchronous electric motor
  • Aluminum structural profile frame
  • Laptop with installed software
  • Methodological materials and laboratory work set
  • Connection cables and auxiliary components

Main Capabilities

  • PLC programming
  • Frequency drive configuration
  • Motor speed and rotation direction control
  • Study of automatic control systems
  • Work with analog and discrete signals
  • Study of feedback principles
  • Research of PID control algorithms
  • Application of artificial intelligence elements for electric drive control
  • Laboratory and research work

Main Purpose

The stand prepares specialists in industrial automation through hands-on study of modern electric drive control methods, including the use of artificial intelligence technologies implemented with a PLC and a frequency drive.

QTLab hybrid liquid level control training stand with PLC programming software and digital twin simulator

Hybrid Process Control Stand

Liquid Level Control Hybrid Training Stand

The hybrid training stand is designed for studying automatic liquid level control systems using a programmable logic controller (PLC) and a digital twin of a technological process. It allows students to safely develop, test, and optimize control algorithms without using real industrial process equipment.

PLC and digital twin
PID control research
Industrial data exchange
AI-based level regulation

Stand Composition

  • Programmable logic controller (PLC)
  • Personal computer with PLC programming software
  • Digital simulator software for the technological process
  • Communication system for data exchange between the PLC and the digital twin
  • Methodological materials and laboratory work set

Main Capabilities

  • PLC programming
  • Development of automatic control systems
  • Configuration and study of PID controllers
  • Technological process simulation in a digital twin
  • Study of transient processes
  • Emergency situation simulation
  • Data exchange between PLC and digital simulator using industrial protocols
  • Application of artificial intelligence algorithms for intelligent liquid level control
  • Laboratory and research work

Main Purpose

The stand provides hands-on study of modern liquid level control methods using a PLC, a digital twin, and artificial intelligence algorithms. It helps students safely design, test, and improve intelligent process control systems in conditions close to industrial operation.

QTLab intelligent temperature control training stand with PLC, heated room model, HMI, and laptop software

AI Temperature Control Stand

Intelligent Temperature Control Training Stand

The training stand is designed for studying automatic temperature control using a programmable logic controller (PLC), a heated room model, and modern artificial intelligence algorithms. It allows students to investigate classic PID controllers, neural networks, and reinforcement learning (RL) algorithms, followed by comparative analysis of control quality.

PLC temperature control
PID and neural networks
Reinforcement Learning
Energy efficiency analysis

Stand Composition

  • Operator panel (HMI)
  • Programmable logic controller (PLC)
  • Heated room model
  • Unified analog signal generator
  • Aluminum structural profile frame
  • Laptop with installed software
  • Methodological materials and laboratory work set
  • Connection cables and auxiliary components

Main Capabilities

  • PLC programming
  • Study of automatic temperature control systems
  • Configuration and comparison of PID controllers
  • Application of artificial neural networks
  • Training and application of Reinforcement Learning (RL) models
  • Comparative analysis of control quality
  • Study of transient processes and system stability
  • Energy efficiency analysis of different control algorithms
  • Laboratory and research work

Main Purpose

The stand provides hands-on study of modern intelligent temperature control methods based on a programmable logic controller. It enables students to explore artificial intelligence algorithms, including artificial neural networks and reinforcement learning, for developing, training, and optimizing intelligent automatic temperature control systems.

Raspberry Pi PLC training stand with custom digital input-output module

Raspberry Pi PLC Training Stand

Raspberry Pi-Based Programmable Logic Controller Training Stand

The training stand is designed for studying industrial programming, process automation, and modern artificial intelligence methods using Raspberry Pi as a programmable logic controller (PLC). Control algorithms are developed in the CODESYS environment, with the ability to study both classic and intelligent control methods.

Raspberry Pi as PLC
CODESYS programming
Custom digital I/O
AI and RL integration

Stand Composition

  • Raspberry Pi as a programmable logic controller (PLC)
  • Custom-developed digital input-output module
  • Heated room model
  • Aluminum structural profile frame
  • Laptop with installed CODESYS software
  • Methodological materials and laboratory work set
  • Connection cables and auxiliary components

Main Capabilities

  • PLC programming in the CODESYS environment
  • Development of automatic control algorithms
  • Work with discrete inputs and outputs
  • Technological process modeling
  • Integration of artificial intelligence algorithms
  • Application of artificial neural networks
  • Study of Reinforcement Learning (RL) models
  • Data exchange between PLC and external systems
  • Laboratory and research work

Main Purpose

The stand provides hands-on study of industrial programming with Raspberry Pi acting as a programmable logic controller. It also supports the development and research of intelligent control systems using artificial intelligence and reinforcement learning algorithms. The platform connects classic PLC automation with modern AI technologies in one educational system.

Intelligent Delta robot vision training stand with camera, conveyor module, and robot controller

Intelligent Robotics Training Stand

Intelligent Delta Robot Vision Training Stand

The training stand is designed for studying industrial robotics, machine vision, and intelligent automation using a high-speed Delta parallel robot. The platform combines robot motion control, computer vision, object recognition, and conveyor automation, allowing students to develop complete robotic applications from image acquisition to autonomous object manipulation.

Industrial Delta Robot
Machine Vision & OpenCV
YOLO Object Detection
Intelligent Pick-and-Place

Stand Composition

  • Delta parallel robot manipulator
  • Industrial USB camera
  • Vacuum end-effector
  • Conveyor transport module
  • Motion controller
  • Stepper motor drive system
  • Aluminum structural profile frame
  • Laptop with installed software
  • Power supply and interface modules
  • Connection cables and accessories
  • Methodological materials and laboratory work package

Main Capabilities

  • Robot motion programming
  • Delta robot kinematics and coordinate systems
  • Pick-and-place automation
  • Conveyor tracking algorithms
  • Camera calibration and coordinate transformation
  • Machine vision using OpenCV
  • AI object detection using YOLO
  • Industrial communication between PC and robot controller
  • Development of intelligent robotic applications
  • Laboratory and research activities

Main Purpose

The training stand provides hands-on experience in industrial robotics and intelligent machine vision technologies. Students learn how modern robotic systems detect, recognize, locate, and manipulate objects using computer vision, artificial intelligence, and real-time motion control. The platform supports education, laboratory experiments, engineering research, and the development of advanced robotic automation solutions.

Pneumatic robot training stand with Siemens S7-1200 PLC, pneumatic manipulator, compressor, and laptop software

Pneumatic Robot Training Stand

Intelligent Pneumatic Robot Automation Training Stand

The training stand is designed for studying industrial automation, programmable logic controllers (PLC), pneumatics, and robotic manipulation using a mechatronic pick-and-place system. The platform combines PLC-based control, pneumatic actuators, sensors, and industrial motion sequences, allowing students to gain practical experience with automated material handling systems commonly used in modern manufacturing.

Siemens S7-1200 PLC
Pneumatic Robot Control
Industrial Automation
Mechatronics Training

Stand Composition

  • Siemens S7-1200 programmable logic controller
  • Integrated PLC control module with power supply
  • Control and indication panel
  • Pneumatic robot mechatronic module
  • Pneumatic air compressor
  • Industrial sensors and actuators
  • Laptop with installed software
  • Programming and communication cables
  • Laboratory accessories
  • Methodological materials and laboratory work package
  • Technical documentation

Main Capabilities

  • PLC programming using Siemens TIA Portal
  • Development of automatic sequence control algorithms
  • Pneumatic actuator control
  • Pick-and-place robot programming
  • Industrial sensor integration
  • Input/output signal monitoring
  • Sequential and event-driven automation
  • Industrial communication and controller diagnostics
  • Practical laboratory exercises
  • Engineering and research activities

Main Purpose

The training stand provides practical education in programmable logic controllers, pneumatic automation, and industrial robotic systems. Students learn to design, program, test, and optimize automatic control systems using modern industrial equipment. The platform supports laboratory education, engineering training, and research in industrial automation, mechatronics, and intelligent manufacturing technologies.

AI Engineering Lab classroom with educational engineering stands, workstations, computers, and laboratory equipment

AI Engineering Lab

AI Engineering Lab Educational Complex

AI Engineering Lab is a modern educational platform for hands-on study of engineering disciplines, from physical processes and electronics to industrial automation and artificial intelligence. The complex brings together educational engineering stands, individual learning kits, the QTLogic software platform, specialized software, and methodological materials into one engineering laboratory.

Engineering education platform
QTLab engineering stands
PicoBlock individual kits
QTLogic software platform

Complex Composition

  • Educational engineering stands
  • PicoBlock individual learning kits
  • QTLogic software platform
  • Software with AI modules and process visualization
  • Methodological materials and laboratory work set
  • Specialized student workstations
  • Computers and laptops with specialized software

Educational Engineering Stands

  • Signal recognition
  • AI-based transformer protection
  • Intelligent Peltier element temperature prediction
  • Intelligent temperature control
  • Color and symbol recognition
  • Voice control of devices

The complex enables laboratory work in these areas. The training stands are designed for studying real technological processes and applying artificial intelligence algorithms to engineering tasks.

Supply Configuration

The standard supply of the complex includes:

6 educational engineering stands
15 PicoBlock individual learning kits
6 specialized workstations
6 personal computers or laptops with installed software

The number of workstations and the equipment composition can be changed according to the requirements of the educational organization.

Individual PicoBlock Learning Kits

Individual learning kits are designed for hands-on study of electronics, microcontrollers, and artificial intelligence technologies. The kits are based on Raspberry Pi Pico and support programming both in the visual QTLogic environment and in MicroPython. They allow students to complete practical work with neural networks, TinyML, and intelligent applications directly on a real microcontroller.

Electronics
Raspberry Pi Pico microcontrollers
QTLogic visual programming
MicroPython programming
Neural networks
TinyML
Intelligent microcontroller applications

Main Purpose

The main goal of the complex is to create a modern engineering education environment that combines hardware, the QTLogic software platform, specialized software, and teaching materials for training specialists in electronics, automation, robotics, and artificial intelligence.

Need a custom training stand?

QTLab can adapt the equipment, software, and laboratory tasks to your curriculum.

Contact QTLab