ros-based research drone

Designed to push the boundaries of research and development, our drone empowers researchers with unparalleled computational capabilities in the sky. Harnessing the immense processing power of NVIDIA Xavier NX, this drone elevates data analysis and decision-making to unprecedented heights.

Whether mapping remote landscapes, conducting environmental monitoring, or carrying out academic research, our ROS based drone is perfect for advanced research and development. With its infrared vision sensing suite, it is also well suited to assisted or autonomous environment mapping and inspection tasks.

ROS Drone
drones for research
research drone
drones for research

key advantages of the indro research drone

powerful compute

With NVIDIA Xavier NX on board, this research drone platform delivers optimized performance and networking from startup, thanks to the installed software. Additionally, it runs software for remote network connections to ground control software and remote desktop software.

ros-based drone

As a ROS based drone, researchers can seamlessly integrate sensors, process data, and execute tasks such as navigation, mapping, and object detection with ease. This drone can be programmed and used in a very similar manner to our other robots.

indoor flights

Equipped with semi-caged propellers, our research drone offers enhanced safety and maneuverability within indoor spaces, making it an ideal platform for controlled experiments and data collection.

Airframe Type Quadcopter
Motor Diagonal Wheelbase 304.8 mm (12”)
Dimensions (with OS-1 LiDAR) 456 mm x 418 mm x 242 mm (L x W x H)
Takeoff Weight 2.9 kg (inc. battery)
Maximum Thrust 10.08 kg
Thrust @ 50% Throttle 3.0 kg
Additional Payload Capacity none
Accessory PSU 12V, 5A
Electronic Speed Controller 4-in-1 200A ESC (4 x 50A)
Motors 1300KV, 44.4A, 6S max. (19 mm X 19 mm , M3 bolt pattern)
Propellers tri-blade 7” x 3.5”
Battery Chemistry Lithium Polymer (LiPo)
Battery Capacity 10,000 mAh
Battery Cell Count 6S
Battery Max / Min Voltage 15.2V / 18V
Maximum Battery Discharge Rate 80A (continuous)
Maximum Battery Charge Rate 10A
Flight controller
  • Arm Cortex M4 STM32F4 MCU
  • Invensense 9-DOF MPU9250 IMU
  • TE MS5611-01BA barometric pressure sensor
  • SD logging
  • PX4 open-source firmware
  • Interfaced with Spektrum 6-channel receiver daughterboard
Control
  • 16GB RAM
  • 128GB SSD
  • Intel Dual Band Wireless-AC 8265
  • PX4 SPI Breakout
Ouster OS-1 LiDAR
  • For wide area depth scanning
  • 200m working range (max.)
  • 20 FPS (max.)
  • 360° Horizontal FOV
  • 45° Vertical FOV (+22.5° to -22.5°)
  • Ethernet interface
RealSense D435if
  • For precision close-range depth scanning
  • IR Depth Camera System
    • 0.3 to 3m working depth range
    • 90 FPS (max.)
    • 87° Horizontal FOV
    • 58° Vertical FOV
    • Global shutter
  • RGB Camera
    • 2MP, 1920*1080
    • 30 FPS (max.)
    • 69° Horizontal FOV
    • 42° Vertical FOV
    • Rolling shutter
  • USB-C interface
HBVCAM-1716 Colour Camera
  • OV2710 sensor
  • 5MP, 1920*1080
  • 140° FOV
  • Fixed focus (focused @ ∞)
  • Rolling shutter
  • UVC compliant
  • USB-A interface
Flight Control Firmware PX4
Autonomous Software ROS1 Melodic (ROS2 compatible)
OS Ubuntu 18.04 Bionic (20.04 compatible)

enhance your research and development with

indro’s research drone

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