autonomous drone software
Connect mission planning, ground control, onboard perception, bounded AI decisions, and flight-controller execution in one supervised autonomy workflow.
Mission capability
Aeroniti builds autonomous drone software for mission planning, AI perception, telemetry, MAVLink commands, onboard decision logic, and human-supervised field operations.
How the system works
Each layer is configured around the aircraft, operating environment, sensor stack, safety requirements, and level of human supervision.
Autonomous drone software turns an operating objective into a controlled sequence of routes, sensor actions, decisions, and safety-aware flight requests. It coordinates mission logic without removing the human operator or the flight controller from the command chain.
Aeroniti combines operator-facing ground control with onboard AI. The ground system defines, previews, and supervises the mission while the onboard computer interprets sensor data and makes bounded decisions close to the aircraft.
Teams can prepare routes, coverage areas, altitude rules, mission stages, and repeatable schedules. Live telemetry returns position, system state, mission progress, and safety information to the operator.
RGB, depth, thermal, and LiDAR inputs can support human, object, animal, obstacle, and heat-signature detection. Sensor results feed mission logic instead of remaining isolated camera streams.
The onboard decision layer communicates command intent through MAVLink. Pixhawk running ArduPilot remains responsible for stabilization, flight modes, geofence, return-to-launch, failsafes, and motor control.
Operators can approve, pause, resume, redirect, return, or land a mission. Aeroniti separates AI decision-making from safety-critical flight execution so autonomous behavior remains observable and interruptible.
Frequently asked questions
Practical answers for teams assessing an Aeroniti mission configuration.
It is the mission, perception, decision, communication, and supervision software that helps a UAV execute planned work while flight-critical control remains with the autopilot.
Yes. Aeroniti uses MAVLink to connect mission and AI decision layers with Pixhawk flight controllers running ArduPilot.
No. AI requests mission actions; Pixhawk and ArduPilot handle stabilization, motor control, flight modes, and configured failsafes.
A configuration can combine RGB cameras, depth cameras, thermal cameras, 360 LiDAR, telemetry, and mission-specific payload sensors.
Yes. Human supervision, live telemetry, safety controls, pause, return-to-launch, and landing actions are central to the architecture.
Request demo
Share the mission, aircraft, operating environment, sensors, payload, safety constraints, and expected outcome. Aeroniti can define a focused integration and field-validation path.