Quanser -Robotics
Robotics tuned to the academic environment
Whether you are researching advanced algorithms or require state of the art technology to teach the next generation of robotics engineers, the Quanser product line has the perfect option for your needs.

Showing all 9 results

Show sidebar

Self-Driving Car Research Studio

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 studio brings you the tools and components you need to test and validate dataset generation, mapping, navigation, machine learning, artificial intelligence, and other advanced self-driving concepts.

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.

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.

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.

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).

Omni Bundle

The Geomagic Touch haptic device is a robot with six revolute joints, three of which are actuated. The three non-actuated joints are the wrist joints. The three motors can actuate the end-effector - the tip of the stylus - to span the entire X, Y, Z region in its workspace. Position measurement along X, Y, and Z is done using digital encoders while measurement of rotations about these axes (roll, pitch and yaw) is done using potentiometers.

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.

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.

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.