The Quanser QDrone autonomous air vehicle is a midsize quadrotor equipped with a powerful onboard Intel® Aero Compute Board, multiple high-resolution cameras, and built-in Wi-Fi. As part of the Autonomous Vehicles Research Studio, this direct-access research-grade drone is tuned to accelerate your research and is ideal for innovative research in multi-agent, swarm, and vision-based applications.
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QDrone
The durable, light-weight carbon-fiber frame makes the QDrone highly maneuverable and capable of withstanding high-impact applications with little downtime required for repairs. The powerful on-board processor, RGB-D and optical flow cameras enable high-quality on-board video processing, as well as streaming for real-time monitoring.
The QDrone is only available as part of the Autonomous Vehicles Research Studio. Click here to learn more.
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QCar
The QCar is powered with NVIDIA® Jetson™ TX2 supercomputer and equipped with a wide range of sensors including LIDAR, 360-degree vision, depth sensor, IMU, encoders, as well as user-expandable IO. Use it to jump-start your research and scale your existing vehicle fleet, while leveraging multiple software environments including Simulink®, Python™, C/C++, TensorFlow and ROS.
Quanser AERO USB
The experiment is reconfigurable for various aerospace systems, from 1 DOF and 2 DOF helicopter to half-quadrotor. Integrating Quanser-developed QFLEX 2 computing interface technology, the Quanser AERO also offers flexibility in lab configurations, using a PC, or microcontrollers, such as NI myRIO, Arduino and Raspberry Pi. With the comprehensive course materials included, you can build a state-of-the-art teaching lab for your mechatronics or control courses, engage students in various design and capstone projects, and validate your research concepts on a high-quality, robust, and precise platform.
3 DOF Helicopter
The helicopter body is suspended from an instrumented joint that is mounted at the end of an arm and is free to pitch about its centre. The other end of the arm is fastened to the base using a two degree of freedom joint, allowing the helicopter to rotate about the vertical axis as well as up and down. The other end of the arm has an adjustable counterweight that changes the effective mass of the helicopter system - making it light enough to be lifted by the thrust from the propellers. All axes are measured using high-resolution encoders to obtain precise position feedback. The slip ring mechanism on the vertical axis allows the body to rotate continuously by eliminating the need for any wires to connect the motors and encoders to the base. The front and back propellers control the movement of the helicopter.
QArm
The QArm consists of 4 joints in a roll-pitch-pitch-roll configuration, allowing for a large reachable workspace. The two-stage 5-contact gripper allows you to interact with objects of various shapes while gauging grip strength via current sense. The gripper can be augmented and customized with additional sensors and actuators via the interfacing board. The position of the RGBD camera enables you to perform inspection and visual servoing tasks. With these features, the arm is ideally suited to adapt and learn from unknown environments.
Two interface options allow for QArm's control and access from a computer via USB (using a QFLEX 2 USB interface panel), or microcontrollers such as Raspberry Pi (using a QFLEX 2 Embedded interface panel).
Autonomous Vehicles Research Studio
At the center of the research studio are two autonomous vehicles for air and ground: the QDrone and QBot 2e. The successor of the QBall 2, the QDrone is a quadrotor air vehicle equipped with powerful on-board Intel® Aero Compute Board, multiple high-resolution cameras and integrated sensors. On the ground, the QBot 2e is an innovative open-architecture autonomous ground robot, equipped with a wide range of built-in sensors and a vision system. Working individually or in a swarm, these are the ideal vehicles for your research applications.
QBot 2e
The QBot 2e is built on a two wheel differential drive platform with built-in DC motors and sensors. It utilizes a wireless embedded computer to command motor velocity and measure the onboard sensors including bump, cliff, and RGBD. The embedded system also provides several I/O channels for interfacing additional digital and analog sensors. The integrated RGB camera and depth sensor are capable of capturing RGB image data and 11-bit depth data and transmitting the data at a high frame rate. The QBot 2e operates using a host-target structure. Controllers are developed on the ground station host using QUARC for Simulink®. Real-time code is downloaded from the host to the QBot 2e embedded computer and allows users to run, modify and monitor code remotely from the host. The controllers on-board the QBot 2e are open-architecture and fully modifiable.
2 DOF Robot
The 2 DOF Robot module is connected to two Rotary Servo Base Units, which are mounted at a fixed distance. Two servomotors on the Rotary Servo Base Units are mounted at a fixed distance and control a 4-bar linkage system: two powered arms coupled through two non-powered arms. The system is planar and has two actuated and three unactuated revolute joints.
The goal of the 2 DOF Robot experiment is to manipulate the X-Y position of a four-bar linkage end effector. Such a system is similar to the kinematic problems encountered in the control of other parallel mechanisms that have singularities.
HD² High Definition Haptic Device
As a dexterous haptic device, HD² enables researchers to interact with virtual or remote environments using programmable force feedback. Compared to other commercially available haptic devices, HD² has a large workspace and very low intervening dynamics. This parallel mechanism is highly back-drivable with negligible friction. The heavy-duty capstan drive and high-performance motors reduce the perceived inertia while maintaining rigidity of the device structure.
