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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 2e 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.

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Overview

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.

Dimensions 40 x 40 x 15 cm
Weight (with batteries)  ~1000 g
Max Payload  ~300 g
Power 3S 11.1V LiPo (3300mAh) with XT60 connector
Flight time ~11 minutes for hover per battery charge
Onboard Computer Intel Aero Compute Board – Intel Atom x7-Z8750
Quad-core 64-bit 2.56 GH z processor
4 GB LPDDR3-1600 RAM
Expandable I/O PWM (8x)
UART (2x)
SPI (3x SS pins )
I²C
ADC (4x)
Encoder input (3x)
CPU GPIO (5x)
Cameras
Intel RealSense (R2000) Depth sensing: 3-4 m
Vision: 640×480 @ 60 FPS or 1080p @ 30FPS
Omnivision OV7251 VGA
640×480 @ 120 FPS
Platform Kobuki mobile base by Yujin Robot
Number of wheels 2
QBot 2 diameter 35 cm
QBot 2 height (with Kinect mounted) 27 cm
Battery life 3 hours
Maximum linear speed 0.7 m/s
Available payload app. 4.5 kg
Sensors included 3 digital bumper sensors
2 digital wheel drop sensors
3 analog and digital cliff sensors
3-axis gyroscope
2 wheel encoder inputs
2 wheel speed outputs
2 programmable LED outputs
4 digital power enable outputs
2 analog motor current inputs
3 digital buttons
2 overcurrent sensors
1 Z-axis angle measurement (heading)
1 battery voltage sensor
1 Kinect RGBD sensor
Additional I/O channels available 28 reconfigurable digital I/O channels
2 PWM output channels
1 SPI bus channel
1 UART serial port (interface 3.3 V serial device)
1 I²C serial bus channel
4 USB 2.0 host ports
1Gigabit Ethernet
1 5.0 VDC
1 3.3 VDC
1 MIPI CSI camera port
1 MIPI DSI display port for touch screen
On-board computer Raspberry Pi with integrated WiFi
Memory 1 GB DDR SDRAM, 32 MB Flash
QUARC maximum sample rate 1,000 Hz
Camera resolution 640 x 480
Depth sensing 11 bit
Depth sensor range 0.5 m – 6 m
Computer Station Intel Core i7 processor
32GB DDR4 RAM
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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