The global standard in transformational engineering labs for Controls, Robotics, and Mechatronics, optimized for the academic setting.

Academic institutions trust Quanser to strengthen their reputation through transformative teaching and research labs that accurately replicate theories and bring engineering mathematics and concepts to life.

“We are in a golden age of engineering education. There’s a lot to be excited about and a lot to be challenged by. The education we offer students must capture this momentum and help them realize their potential.”
– Paul Gilbert, CEO, Quanser

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Integrating Smart Vehicles into the Undergraduate ECE Curriculum: From “We have NO idea” to “Wait, this actually makes sense!”

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Road Sign Detection using Transfer Learning on RetinaNet

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DoD Funding Opportunity: Research and Education Expansion at HBCUs and MSIs

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Quanser partners with a wide range of academic institutions, companies, and professional organizations in developing our brand of soltuions

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Today, over 2,500 universities, colleges, research institutions and companies around the world use Quanser solutions. Here are some examples of how they apply them to enhance teaching experience of students and to accelerate their academic and industrial research or to achieve their business goals.

Share your success story with the controls community. Tell us how you are using Quanser hardware and software tools in your teaching and research lab.

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Aalborg University

Drones: The Future of Wind Turbine Inspection and Maintenance

University of East London

Shake Table Supports Earthquake-Affected Building Design

San Francisco State University

The Future of Engineering Courses: Modern Pedagogy Delivered through the Latest Technology

University of Rijeka, Croatia

A Unique Seismic Lab Opens the Door for Advanced Research

University of Toronto

Bringing Excitement and Relevance to Analog Circuit Design

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The global standard in transformational engineering labs for Controls, Robotics, and Mechatronics, optimized for the academic setting.

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Integrating Smart Vehicles into the Undergraduate ECE Curriculum: From “We have NO idea” to “Wait, this actually makes sense!”

Road Sign Detection using Transfer Learning on RetinaNet

DoD Funding Opportunity: Research and Education Expansion at HBCUs and MSIs

Non-parametric Auto-tuning Framework Using Modified Relay Feedback Test and Machine Learning for Multi-rotor UAVs

An Artificial Intelligence Primer

Products, Projects, and Pedagogy

Developing AI Applications with TensorFlow and the MATLAB® Deep Learning Toolbox™

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San Francisco State University

University of Rijeka, Croatia

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