Hardware Support

Quanser Support for MATLAB and Simulink

Teach and validate theoretical engineering concepts

Quanser extends MATLAB and Simulink across the engineering workflow, from direct interaction with sensors and actuators to modeling, control, robotics, and autonomous systems. Develop and validate algorithms in simulation, move into high-fidelity digital twins, and deploy to physical hardware using QUARC real-time software.

The same workflow scales with you, from individual components and benchtop platforms to autonomous robots and coordinated multi-agent systems.

From Simulation to Physical Systems

Quanser helps MATLAB and Simulink users bridge the sim-to-real gap with academic resources, a research community, and high-fidelity digital twins.

Shows Quanser hardware, and academic accreditation logos.

Academic Resources

Build courses with customizable courseware, leading textbooks, ABET-aligned materials, and project-based learning.

A collage shows students, researchers, robots, and laboratory experiments in Quanser community projects.

Research Community

Explore projects and published work from researchers and educators at more than 2,500 institutions worldwide.

A Quanser QCar appears in a physical test space beside a simulated urban driving scene.

Digital Twins

Use high-fidelity digital twins that capture real hardware constraints and reduce code changes when moving to physical systems.

Components and Devices

Work directly with sensing, actuation, data acquisition, and amplification hardware from MATLAB and Simulink. Acquire and visualize measurements across motion, distance, vision, force, environment, human input, and sound. Command motors and actuators. Access analog, digital, encoder, PWM, I2C, SPI, and serial interfaces for real measurement and control experiments.

Supported Hardware

  • Motion and Orientation
    • Passive Infrared (PIR)
    • Accelerometer
    • Gyroscope
    • Magnetometer
  • Distance and Obstacle
    • Radar
    • Ultrasonic
    • Time of Flight (ToF)
    • Infrared Distance (IR)
  • Light and Vision
    • RGB Camera
    • Color Sensor
    • Light Dependent Resistor (LDR)
  • Force and Weight
    • Load Cell
    • Force Sensing Resistor (FSR)
  • Human Interface
    • Rotary Encoder Knob
    • Joystick
    • Push Buttons
    • LCD Touch Input
  • Environment
    • Pressure
    • Humidity
    • Temperature
    • Thermocouple
  • Audio
    • Microphones
    • Speaker

Actuators

  • Brushed DC Motor
  • Brushless DC Motor
  • Servo Motor
  • Stepper Motor

Benchtop Platforms for Control and Robotics

Move from individual sensing and actuation to integrated platforms where sensors, actuators, system dynamics, and control work together. Use MATLAB and Simulink to model physical behavior, acquire real measurements, design and tune controllers, and validate algorithms directly on hardware.

A black QUBE Servo 3 benchtop control platform with a red motor and rotary attachment.

Qube Servo 3

A compact starting point for moving from control theory to real measurement.

A Quanser Aero 2 two-rotor aerospace experiment mounted on a black base.

Aero 2

Explore aerospace dynamics and control on a flexible, reconfigurable physical system.

A Quanser QArm robotic manipulator with a gripper mounted on a black base.

QArm

Topic content: Bring motion, vision, and manipulation together in one open robotics platform.

A compact Quanser QArm Mini robotic arm with an onboard camera and gripper.

QArm Mini

Make introductory robot manipulation tangible through hands-on motion and interaction.

A Quanser Coupled Tanks experiment with two transparent fluid tanks, tubing, and a pump.

Coupled Tanks

Apply modeling and control to a real fluid process with interacting dynamics.

A Quanser Rotary Servo Base Unit with a rotary disk, motor, and interchangeable attachments.

Rotary Servo Base Unit

Start with core servo control and expand into a wider family of dynamic experiments.

Autonomous and Edge AI Platforms for Onboard Intelligence

Develop autonomous systems with integrated sensing, onboard NVIDIA GPU compute, and direct MATLAB and Simulink deployment. Move from simulation and digital twins to perception, control, AI, and autonomy running on the physical robot, creating an complete research workflow that supports remote operation and a smoother transition from simulation to real-world validation.

A Quanser QDrone 2 indoor quadrotor with an onboard computer, sensors, and protective frame.

QDrone 2

Take perception and autonomy into the air with computation running onboard.

A Quanser QCar 2 autonomous vehicle with cameras, sensors, and onboard computing.

QCar 2

Move self driving workflows from algorithms to repeatable physical testing.

A Quanser QBot Platform mobile robot with a red and black enclosure and a top-mounted sensor.

QBot Platform

Put navigation, perception, and decision making directly on a mobile robot.

Two Quanser QArm Research robotic manipulators with cameras and grippers shown on separate black bases.

QArm Research

Bring perception, learning, and intelligent manipulation onto physical hardware.

Multi-Agent Systems for Coordinated Robot Fleets

Bring multiple autonomous platforms together to explore homogeneous and heterogeneous multi-agent systems in real-world application settings. Use MATLAB and Simulink to study coordination, communication, planning, distributed control, and intelligent decision making. Build industry relevant skills across autonomous mobility, aerial robotics, manipulation, logistics, and intelligent automation.

A researcher operates a drone research setup with workstations, displays, and a test area.

Drone Research Lab

Perform research in an aerial robotics environment for swarming, coordination, and aerial-ground autonomy.

Two mobile robots operate on a marked test floor while researchers monitor the experiment.

Mobile Robotics Lab

Build or expand institutional capacity in research or education using a turnkey robotics lab for fleet navigation, task coordination, and mobile manipulation.

Researchers monitor small autonomous vehicles in a scaled urban testbed with multiple displays.

Self-Driving Car Lab

Experience a scaled urban testbed for traffic interaction, collaborative autonomy, and multi-vehicle scenarios.

A robotic manipulator and mobile robot are shown in an integrated physical AI research setup.

Physical AI Lab

Work within an integrated research platform for intelligent manipulation, learning, and physical AI workflows.

A robotic arm, conveyor, and mobile robot are shown in an integrated automation setup.

Intelligent Automation Lab

Work with a reconfigurable multi-agent system for material handling, robot coordination, and intelligent automation.

Featured Customer Stories

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High Fidelity Hybrid Engineering Labs, Anywhere and Anytime

Stralsund University of Applied Sciences, Germany

See how Quanser Digital Twins, MATLAB and Simulink, and physical hardware support scalable hybrid lab experiences while improving student engagement and preparation.

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AI for Advanced Path Tracking

University of Surrey, UK

Explore how deep reinforcement learning moves from simulation to a physical QCar for advanced path tracking, creating a practical workflow for studying the simulation to reality gap.

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A Multidisciplinary Platform for Innovation Research

University of Ottawa, Canada

See how autonomous vehicle platforms bring robotics, AI, telecommunications, cybersecurity, and other disciplines into a shared environment for research, collaboration, and innovation.

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MATLAB and Simulink Across the Engineering Program

University of Manchester, UK

See how MATLAB, Simulink, QLabs, QUARC, courseware, and physical Quanser platforms come together in a repeatable workflow from simulation and digital twins to physical experimentation.