Mobile Robotics Lab

The Quanser Mobile Robotics Lab is designed to help institutions bridge classroom theory and real-world robotics through a cohesive platform for teaching, project-based learning, and research. At the center of the lab are four QBot Platforms, each equipped with advanced sensors such as LiDAR and an Intel RealSense RGB-D camera, along with powerful NVIDIA Jetson Orin Nano compute. The lab also includes one QArm Mini, which can be used as a standalone platform or mounted on the QBot Platform through a single USB connection, extending learning into manipulator and mobile manipulation workflows. Together, the lab supports a wide range of activities, from foundational topics such as localization, path planning, navigation, and obstacle avoidance to more advanced work in applied AI and multi-agent systems. 
 
Ready-to-use courseware, research examples, and compatibility with Python, MATLAB Simulink, C++, and ROS 2, making it easier to integrate into different programs, courses, and research workflows. High-fidelity digital twins allow students and researchers to design, test, and refine their work in a safe virtual environment before moving to hardware, while also supporting on-campus, off-campus, and remote learning. By bringing together physical systems, digital twins, and academic resources, the lab provides a practical environment for building industry-relevant skills and encouraging multidisciplinary teamwork.