The Quanser QBot Platform is an innovative open-architecture autonomous ground robot, built on a differential mobile 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.
The Qube Servo 3 is the fastest and most efficient way to bring modern, hands-on learning experiences into your Control Systems course. The system is equipped with a high-quality direct-drive brushed DC motor, two encoders, an internal data acquisition system, and an amplifier. Connect with USB to a Windows PC using MATLAB Simulink or Python.
The Quanser Self-Driving Car Research Studio is a highly expandable and powerful platform designed specifically for academic research. Use it to jump-start your research and scale your vehicle fleet, while leveraging multiple software environments.
The Aero 2 allows you to teach and research more control systems courses and topics than any other solution on the market. Equipped with a collection of high-fidelity sensors, our traditional open-architecture software, and reconfigurable dynamic properties, the Aero 2 can be used to teach almost all undergraduate control systems topics and for a variety of research applications.
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.
Designed exclusively for the NI ELVIS III platform and LabVIEW™, the Quanser Boards exposes students to advanced control topics, electrical power systems, mechatronics and complex analog circuits.
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.
The 2 DOF Inverted Pendulum/Gantry module is ideal to introduce more advanced principles of robotics. You can use it to demonstrate real-world control challenges encountered in aerospace engineering applications, such as rocket stabilization during takeoff.
QCar, the feature vehicle of the Self-Driving Car Research Studio, is an open-architecture, scaled model vehicle designed for academic research. Working individually or in a fleet, QCar is the ideal vehicle for validating dataset generation, mapping, navigation, machine learning, artificial intelligence, and other advanced self-driving concepts.
The Coupled Tanks system is a process control experiment ideal for teaching and research of control topics related to liquid level control.
Quanser’s QArm is a 4 DOF serial robotic manipulator with a tendon-based two-stage gripper and an RGBD camera, designed for modern engineering education and academic research applications. Leveraging the intuitive graphical interface of Simulink® or expandability of Python™ and ROS, students get a systematic understanding of the design of robotic systems and concepts, including joint control, kinematics, path planning, statics, and dynamics.
The Quanser QBot 3 is an innovative open-architecture autonomous ground robot, built on a 2-wheel mobile platform. Equipped with built-in sensors, a vision system, and accompanied by extensive courseware, the QBot 3 is ideally suited for teaching undergraduate and advanced robotics and mechatronics courses.
