Jump-start Your Autonomous Vehicles 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 3 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.
Training contents:
- Research and build control algorithms to control Qdrone and Qbot Platform.
- Research on Image Processing.
- Research Deep Learning and AI.
- Research and develop swarm applications.
- Research and develop object tracking application
- Build algorithm models using Matlab/Simulink, Python, C++ and ROS to develop practical applications.
- Research and build algorithms to control Qbot Platform robot combining robotic arm to develop practical applications includes control, pick and place, object detection, and visual servoing, with support for MATLAB/Simulink, Python & ROS
QDrone 2
The Quanser QDrone 2 autonomous air vehicle is a midsized quadrotor equipped with a powerful on-board NVIDIA 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 optimized and robust carbon fiber frame makes the QDrone 2 highly maneuverable and capable of withstanding high-impact collisions without down time for repairs between flights. The powerful on-board processor and multiple accelerated high-resolution cameras enable novel on-board video processing, as well as streaming for real-time monitoring.
Features:
- NVIDIA System-On-Module (SOM): NVIDIA Jetson Xavier NX SOM
- Open Software Architecture: Design, deploy, and tune your algorithms through QUARC™ for Simulink®
- Durable: Robust carbon-fibre frame suitable for advanced applications
- Extensive and Expandable: Multiple on-board cameras, additional digital and analog I/O channels for advanced robotics applications.
Ground Control Station
- 1 Specifically configured high performance ground station PC
- Three monitor
- 1 High performance Router
- 1 QUARC Autonomous Software License
- 6 Optitrack Flex13 Camera System: Tracking Area: 5m x 5m
- Protective Ground Mats and Protective Netting
QBot Platform
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 extensive courseware and equipped with built-in sensors such as LiDAR, downward-facing camera, gyroscope and accelerometer. The warehouse automation teaching content is organized as a set of independent pipelines, allowing professors to select and adapt them easily into an existing course, or when building a new course.
The Qbot Platform provides an electromechanical prototyping bay for adding project components. It is also equipped with a reinforced landing pad for drones and additional cargo. The open control architecture allows users to seamlessly integrate off-the -shelf sensors and customize the QBot Platform for their research. The solution is well suited for designing and developing applications related to autonomy, navigation and control, machine learning, computer vision, multi-agent heterogenous and swarm robotics, and more.
Features:
- Project-ready: Electromechanical prototyping bay and fully accessible 40-pin I/O header
- Course-ready: Relevant lab content for courses tailored to both moblie & manipulator robotics
- Research-ready: Deploy applications via MATLAB, Simulink, Python, C++ and ROS
- Swarm-ready: Cost-effective pricing and bundle options allow multiple units in a lab
QArm Mini
The Quanser QArm Mini is a 4-DOF serial manipulator with a parallel gripper including an RGB camera for use in indoor labs. Its compact workspace provides for an engaging and hands-on engineering education experience. Industrially relevant teaching material provides students with a fundamental grasp of robotic manipulator concepts including controls, pick and place, object detection and visual servoing, with support for MATLAB/Simulink, Python & ROS. The QArm Mini uses a plug and play USB interface for communication and comes equipped with a series of fundamental labs for direct benchtop use. Additionally, the QArm Mini integrates seamlessly into the QBot Platform as a surveying and support manipulator, giving students further access to advanced industrial warehouse automation lab content.
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