Skydio has built a new kind of camera - one that flies itself by combining artificial intelligence, computer vision, and advanced robotics into a tool that anyone can pick up and use in minutes.

Visual precision.

Skydio R1 is equipped with 13 cameras, enabling it to look in every direction at once.

Intelligence at its core.

Skydio R1 is powered by NVIDIA Jetson, a 256-core AI supercomputer.

Introducing the Skydio Autonomy Engine.

To operate autonomously, the Skydio Autonomy Engine has to comprehend what’s happening, where it’s going, and what will happen next. This level of understanding is how Skydio delivers a reliably awesome flying experience—every time.


Skydio R1 uses Simultaneous Localization and Mapping (SLAM) to construct and update a map of an environment while also keeping track of a person’s location within it.

The right stuff.

The R1 is built with cutting edge aerospace materials in a slim design that fits in your backpack. Featuring a lightweight anodized aluminum fuselage to dissipate heat from processing and carbon fiber rotor guards giving you peace of mind, the R1 is ready for your next adventure.


2.2 lbs
16 minutes each, 2 batteries included
Top Speed
25 mph
  • 4k, 30fps
  • 1080p, 30, 60fps
  • Vibration isolated
  • 150° FOV
  • 64GB onboard storage
  • 1.5 hrs @ 4K, 4.5 hrs @ 1080p30
  • Stabilized
    (2 axes mechanical gimbal,
    1 axis flight control)
  • Pitch range: +50° to -105°
  • Roll range: +35° to -35°
  • 256-core Nvidia Jetson GPU
  • Quad-core 64-bit ARM CPU
  • 4GB RAM
Live Video Stream
  • 720p, 15fps
  • Wi-Fi range 300 ft (Depending on phone)
  • 12x navigation cameras for omnidirectional vision
  • 1x user video camera
  • 4x IMU
  • 1x GPS
  • 1x barometer
  • Instant clip creation after every flight via the Skydio app
  • Full flight recording can be downloaded, edited over USB

Build on R1.

Skydio hardware offers the most compute and image-based sensing capability on a flying device of this size, and the Skydio Autonomy Engine allows developers to write software in terms of the application rather than starting at low-level controls. If you’re interested in building something on top of the capabilities of an autonomous flying robot, let us know.