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QLabs Virtual QBot Platform

Virtual platform for distance and blended undergraduate mobile robotics courses

Robotics & Mechatronics Mobile Robotics Software Virtual Experiments

QLabs Virtual QBot Platform is a fully instrumented, dynamically accurate virtual twin of a QBot Platform, to enrich your lectures and lab activities for your distance and online mobile robotics course.

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Product Details

QLabs Virtual QBot Platform is a fully instrumented, dynamically accurate virtual twin of a QBot Platform. It behaves in the same way as physical hardware and can be measured and controlled using MATLAB®/Simulink® and Python.
QLabs Virtual QBot Platform can enrich your lectures and activities in traditional labs, or bring credible, authentic, industry-aligned, and academically oriented lab experiences into your distance and online mobile robotics course.
Same as the physical QBot Platform, the virtual system features a differential drive platform equipped with odometric, inertial, visual, and ranging sensors for robotic applications such as self-localization, path planning, state estimation, control, visual servoing, multiagent collaboration and more.

Academically appropriate
High-fidelity, credible lab experiences equivalent to use of physical lab equipment

Comprehensive Resources
Industry-aligned curriculum mapped to popular mobile robotics courses

Open access
Full access to system through MATLAB®/Simulink® and Python

Scalable
12-month, multi-seat subscription

App Download & Access to SubscriptionQuanser Academic Portal
App OS CompatibilityMicrosoft Windows 10 or Later
Required SoftwareCurriculum designed for MATLAB and Simulink R2022a or later, with Python 3 compatibility
Minimum SpecificationsIntel Core Ultra 5, Intel Core i5, Ryzen 5
8GB RAM
Intel Iris Xe or Arc integrated GPU
Recommended SpecificationsIntel Core Ultra 7, Intel Core i7, Ryzen 7

16GB RAM
Intel Arc integrated GPU, or discrete GPU (e.g. NVIDIA GeForce RTX 3050)
Recommended Research SpecificationsIntel Core Ultra 7, Intel Core i7, Ryzen 7

32GB RAM
Discrete GPU (e.g. NVIDIA GeForce RTX 3050)

Group Citation: Software



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