The open stack for
smarter autonomous systems.
Astral ships the SDK, simulation paths, operator apps, and public datasets you need to train perception and evaluate autonomy honestly—in the air or on the ground. Bring your own robot and models, fly our reference platforms, or engage us to design custom quadcopters, fixed-wing aircraft, rovers, and more.
What Astral ships today
Open software and honest benchmarks, plus operator tooling and simulation-first docs—backed by reference air and ground platforms and programs to integrate your fleet or design vehicles for your mission.
Open source stack
Python SDK, examples, and repositories you can run today—ArduPilot SITL for fast iteration on multicopters, fixed-wing, rovers, and more; Isaac-class sim when you need full perception loops.
Mobile operator app
iOS and Android apps for real-world aerial and ground operations alongside the same autonomy stack we develop in the open.
Yonder dataset
A large drone-perspective indoor corpus on Hugging Face, built to train perception and to stress-test cross-simulator generalization.
Explore YonderSimulation guides
Concrete setup for SITL and Isaac-style workflows so your autonomy code is exercised the same way we evaluate research benchmarks.
Run in simulationResearch-grade autonomy
We publish on the metric gap in vision-language navigation for aerial and ground robots, modular architectures that separate semantics from geometry, swarm sensing requirements at scale, and Yonder — a public dataset designed to expose when offline perception metrics mislead you in closed loop.
Read our research# Terminal 1 — ArduPilot SITL
sim_vehicle.py -v ArduCopter --console --map
# Terminal 2 — Astral SDK against SITL
pip install astral-sdk
export ASTRAL_SDK_SERIAL_PORT=tcp:127.0.0.1:5760
python -c "
import time, astral_sdk as drone
drone.takeoff(2.0)
time.sleep(5)
drone.land()
drone.disconnect()
"Built for developers and researchers
Install the SDK, point it at ArduPilot SITL (multicopter, fixed-wing, rover, and more), and iterate in minutes on your hardware or ours. When you are ready to stress perception and planning together, move to Isaac-class simulation—same API surface, harder realism.
Documentation
Guides and reference in the astral-docs repo on GitHub
Simulation
SITL and Isaac-style workflows
GitHub
astral-sdk and related repos
Research
Papers, notes, and benchmarks
Mission Control in Your Pocket
Configure, deploy, monitor, and control real missions in the air and on the ground with the Astral mobile apps—alongside the same open SDK and simulation workflows we publish for developers.
Plan Your Mission
Design routes and waypoints, set behaviors, and configure autonomy for your vehicle class.
Simulate & Validate
Test your mission in our simulator before deploying to real hardware.
Deploy & Monitor
Launch your fleet and monitor real-time telemetry and video feeds.
From the blog
Practical guides and research-backed notes on autonomy for drones, rovers, and other robots—evaluation, integration, and datasets.