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Autonomous Systems and Applied AI

QBot Platform

High-performance autonomous ground robot for indoor labs

The Quanser QBot Platform is an innovative open-architecture autonomous ground robot, built on a differential drive mobile platform.

QBot Platform​

This solution is ideal for teaching undergraduate and graduate mobile robotics as it is accompanied by comprehensive courseware and equipped with built-in sensors such as LiDAR, front-facing RealSense camera, downward-facing camera, gyroscope, and accelerometer, all powered by an onboard NVIDIA Jetson Orin Nano computer.

QCar

Sensor-rich autonomous vehicle for self-driving applications

QCar, the feature vehicle of the Self-Driving Car Studio, is an open-architecture, scaled model vehicle designed for academic teaching and research. It is equipped with a wide range of sensors including LIDAR, 360-degree vision, depth sensor, IMU, encoders, as well as user-expandable IO. The vehicle is powered with an NVIDIA® Jetson™ TX2 supercomputer that gives you exceptional speed and power efficiency

QCar Sensor-rich autonomous vehicle for self-driving applications

QDrone 2

Quanser Innovation Unleashed in the Autonomous Vehicle Research Space

The Quanser QDrone 2 autonomous air vehicle is a midsized quadrotor equipped with a powerful on-board NVIDIA Jetson Xavier NX system-on-module (SOM), multiple high resolution cameras and built-in WiFi. This open-architecture research-grade drone is tuned to accelerate your innovation in multi-agent, swarm, artificial intelligence, machine learning, and vision-based applications.

Autonomous and UAV Research

Self-Driving Car Studio

A multi-disciplinary turnkey laboratory that can accelerate research, diversify teaching, and engage students from recruitment to graduation

The Quanser Self-Driving Car Studio is the ideal platform to investigate a wide variety of research topics for teaching and academic research in an accessible and relevant way.

Self-Driving Car Studio​

Use it to jump-start your research or give students authentic hands-on experiences learning about the essentials of self-driving. The studio brings you the tools and components you need to test and validate dataset generation, mapping, navigation, machine learning, and other advanced self-driving concepts at home or on campus. 

Autonomous Vehicles Research Studio

Jumpstart Your Autonomous Vehicle Research

Quanser’s new Autonomous Vehicles Research Studio is the ideal solution for academics looking to build an indoor multi-vehicle research lab in a short amount of time. Consisting of QDrone quadrotors and QBot Platform ground vehicles, ground control station, vision, and safety equipment, the Autonomous Vehicles Research Studio is the only option for research groups looking to jumpstart autonomous robotics research programs and be productive in a very short amount of time.

Autonomous Vehicles Research Studio​

QLabs Virtual QCar

High fidelity digital twin in an interactive driving world 

The Quanser Virtual QCar is a fully instrumented, dynamically accurate digital twin of the Quanser QCar system. It behaves the same way as the physical hardware and can be measured and controlled using the Python, ROS, and MATLAB Simulink development environments.

QLabs Virtual QCar​

With a reconfigurable and visually rich environment that mirrors the physical Self-Driving Car Studio, it can enrich your lectures, labs, research, and outreach activities. Beyond the classroom and research lab, the platform offers the capacity to give students skills-based leaning experiences in a blended and/or hybrid configuration for distance and online courses.

About Quanser’s Autonomous Systems and AI Lab

To equip engineering graduates with the skills and expertise needed to tackle these challenges, the Quanser Autonomous Systems and AI Lab is a turnkey collection of platforms, libraries, course resources, and laboratory infrastructure that brings complex theories to life. To catalyze innovative research, the lab offers powerful open-architecture platforms and digital twins that accelerate development and offer a reliable and flexible design and development backbone to generations of researchers.

Empowering Research and Education with the Autonomous Systems and AI Lab

The core of the Autonomous Systems and AI Lab is a set of powerful autonomous vehicles that are designed specifically for cutting-edge autonomous systems and AI research. While the ground robots, self-driving cars, and drones that make up the lab are ideal for research, the Autonomous Systems and AI lab systems can also easily extend across a variety of courses and years, bridging into advanced autonomous systems and AI courses, capstone projects, outreach, and student competitions. The vehicles that operate independently and collaboratively at the core of the labs include the QDrone 2, QCar, and QBot Platform.

QDrone 2: Revolutionizing Autonomous Indoor Drones with NVIDIA Xavier NX

The QDrone 2 is a powerful and sensor-rich indoor drone that offers an unprecedented level of open access to the drone’s complete control, localization, coordination, and processing systems. Equipped with a powerful NVIDIA Xavier NX embedded computer, the cameras and sensors on the drone can be efficiently processed and fused using advanced control and intelligent decision-making algorithms.

QCar: Pioneering Self-Driving Research and Education

The QCar takes the sensors and NVIDIA TX2 processing stack and applies it to self-driving teaching and research challenges. The 1/10th scale car offers an ideal platform to teach students the algorithms used in modern self-driving systems. It gives researchers an ideal bridge to bring their driving algorithms and solutions to complex driving scenarios to life. Beyond self-driving, the open nature of the QCar and the wide variety of sensors offer a great platform to prototype and validate a wide range of autonomous intelligent systems research.

QBot Platform: A Versatile Solution for Autonomous Systems and Robotics Research

The QBot Platform is the most versatile autonomous system offered as a part of the lab, combining the NVIDIA processing and software stack with a general-purpose mechatronic platform for robotics, autonomous systems, AI/ML, mechatronics and smart manufacturing teaching and research. The differential drive robot comes complete with a wide range of sensors, powerful actuators able to carry up to 50kg, and flexible electromechanical interfacing options. Finally, the QBot Platform can be paired with the QArm Mini to add additional manipulation capabilities and an additional dynamic camera for coordination and inspection.

Quanser’s Turnkey Autonomous Research Studios: Empowering Advanced Research and Education

These diverse and powerful platforms are combined into two teaching and research studios: the Autonomous Vehicles Research Studio to address general intelligent autonomous systems research and the Self-Driving Car Studio for self-driving teaching, research, and outreach. Both studios are complete turnkey research studios, equipping researchers and educators with the vehicles, accessories, infrastructure, devices, software, and resources needed to get from a concept to a lab progression or publication faster and consistently over generations of projects and students.

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