QLabs Virtual QArm

Virtual platform for distance and blended undergraduate robotics courses

Robotics & Mechatronics Manipulator Robotics Software Virtual Experiments

QLabs Virtual QArm is a fully instrumented, dynamically accurate virtual twin of a Quanser QArm system. It behaves in the same way as the physical hardware and can be measured and controlled using MATLAB®/Simulink® and other development environments. QLabs Virtual QArm can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and online robotics course.

QLabs Virtual QArm is available as a 12-month, multi-seat subscription. The platform is compatible with the physical QArm curriculum which covers concepts including joint control, kinematics, path planning, statics, and dynamics.

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Same as the physical QArm, the virtual system is a 4 DOF serial robotic manipulator with a tendon-based two-stage gripper and an RGBD camera.

High-fidelity, credible lab experiences equivalent to use of physical lab equipment
12-month, multi-seat subscription
Full access to system parameters through MATLAB®/Simulink®
Comprehensive curriculum mapped to popular robotics textbooks

QArm virtual sensors	Joint position Joint velocity Joint PWM command Joint current RGBD sensor
App download & access to subscription management	Quanser Academic Portal
App OS Compatibility	Microsoft Windows 10 or later
Required software	Curriculum designed for MATLAB and Simulink R2021a or later, with compatibility with Python 3
Minimum system requirements	Video Card: Intel HD 520 or equivalent DX11 GPU Processor: Core i5-6300U series mobile CPU or equivalent Memory: 8 GB RAM
Recommended system requirements	Video Card: Intel UHD 620 or equivalent GPU Processor: Core i7-8665U series mobile CPU or equivalent Memory: 16 GB RAM