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Autonomous Vehicles Research Studio

Jump-start Your Autonomous Vehicles Research

Autonomous Systems & Applied AI Aerospace Control Autonomous Vehicle Control

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 Platform 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.


Product Details

At the center of the research studio are two autonomous vehicles for air and ground: the QDrone 2 and QBot Platform. The successor of the QBall 2, the QDrone 2 is a quadrotor air vehicle equipped with powerful on-board NVIDIA Jetson Xavier NX SOM, multiple high-resolution cameras and integrated sensors. On the ground, the QBot Platform 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.

QDrone 2

Visit the QDrone 2 product page for more details.

Dimensions 50 x 50 x 15 cm
Weight (with batteries)  ~1500 g
Max Payload  ~300 g
Power 4S 14.8V LiPo (3700mAh) with XT60 connector
Flight time 7-8 minutes for hover per battery charge
Onboard Computer NVIDIA Jetson Xavier NX SOM (powered by a 6-Core NVIDIA Carmel ARM v8.2 64-Bit processor)
384-core NVIDIA Volta GPU with 48 Tensor Cores
8 GB 128-bit LPDDR4x RAM
Expandable I/O PWM (2x)
UART (2x)
SPI (2x SS pins )
I² (2x)
ADC (1x)
Encoder input (2x)
Intel® RealSense™ ((D435) Depth sensing: (3 metre range)
RGB (1920X1080) @ 30 FPS)
Omnivision OV9281 Grayscale (1280×800 @ 120 FPS or 640×480 @ 180 FPS)
Sony IMX219 3x RGB CSI 160 deg FOV wide angle lenses Cameras providing side and back view
21 FPS to 120 FPS
On board sensors 2x 6-DOF IMU (gyroscope and accelerometer), 1x Optical Flow sensor, 1x ToF height sensor
Connectivity WiFi 802.11a/b/g/n/ac 867Mbps with dual antennas
1x Micro HDMI port for external monitor support
Supported Software and APIs
  • QUARC for Simulink
  • Quanser APIs
  • TensorFlow
  • TensorRT
  • Python™ 2.7 & 3
  • ROS 1 & 2
  • CUDA®
  • cuDNN
  • OpenCV
  • Deep Stream SDK
  • VisionWorks®
  • VPI™
  • GStreamer
  • Jeston Multimedia APIs
  • Docker Containers with GPU support
  • Simulink® with Simulink Code
  • Simulation and virtual training environments (Gazebo and
    Quanser Interactive Labs )
  • Multi-language development
  • supported with Quanser Stream
  • APIs for inter-process
  • Communication
  • Unreal Engine

QBot 3
Visit the QBot 3 product page for more details.

Platform 2-wheeled Kobuki base from Yujin Robot
QBot 3 diameter 35 cm
QBot 3 height 16 cm
Maximum linear speed 0.7 m/s
Available payload app. 4.5 kg
Battery life Maximum 3 hours
On-board computer Raspberry Pi 4B 4GB
Camera resolution 1080p @ 30Hz, 720p @ 30Hz, 480p @ 60Hz
Depth resolution  720p @ 30Hz, 480p @ 60Hz
Depth range 0.5 to 12 m
LCD module 32 characters (16 per line)
On-board sensors 3 digital bump sensors
2 digital wheel drop sensors
3 cliff sensors
1 3-axis gyrosc0pe
2 analog motor current sensors
1 Z-axis angle measurement (heading)
2 multicolor programmable LEDs
18 IR dock sensors (dock not included)
2 encoders
3 digital buttons
2 over current sensors
1 battery voltage sensor
1 Intel RealSense D415 sensor
1 charger
1 speaker
Additional I/O channels 28 reconfigurable digital I/O channels, including
2 SPI bus channels
1 I2C serial bus channel
2 PWM output channels
1 UART serial port (interface 3.3 V serial device)
Additional Connectivity 2 USB 3.0 user ports
4 USB 2.0 user ports
1 MIPI DSI display port for touch screen
1 gigabit Ethernet port
1 MIPI CSI camera port
40-pin I/O header


Computer Station Intel Core i7 processor
Nvidia GeForce GTX 1050 Ti, 4GB GDDR5 with support for 3 monitors
Two Gigabit Ethernet ports
Windows 10 Pro
Keyboard and mouse
Monitors 3x 24” LED display – ASUS VE248H
Localization System Motion Capture System – Natural Point OptiTrack Flex 13 (6x) with camera mounts provided and Motive software (Motive 1.10.3 Final)
WiFi Router High-Performance Gigabit Wireless Router – NetGear NightHawk AC1900 (R7000)
Handset Controller Spektrum Radio SPMR1000 with USB dongle (SPM1000WS)
Protective Netting 10’ tall netting x 17’ length (default configuration)
Floor Mats 2’ x 2’ industrial foam mats (50x – default configuration)
Battery Charger Balancing charger (2x – One charger per QDrone) – G. T. Power A6 LiPo Battery Charger
Nominal Workspace 3m x 3m x 2m volume

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Aalborg University

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