Assign mission intent
The operator defines a route, area or target to observe. The aircraft builds and validates a plan onboard.
Onboard navigation and mission execution, with the operator supervising rather than steering.

Neuronic Monitored Autonomy adds onboard navigation, obstacle avoidance and mission execution to existing drones, UGVs and robotic dogs, while the operator monitors and approves actions.
Drone autonomy software lets one operator assign a mission instead of flying the aircraft. Neuronic's onboard autonomy plans routes, navigates when GNSS is denied, executes MAVLink missions, controls sensors and follows defined behaviour when the communication link drops, so the mission continues without continuous manual piloting.
The operator defines a route, area or target to observe. The aircraft builds and validates a plan onboard.
The suite controls the autopilot over MAVLink, handling waypoints, orbits, altitude and speed without continuous stick input.
When paired with Neuronic video analytics, the drone detects targets, follows them and keeps the gimbal locked autonomously.
Communication-loss behaviour keeps the aircraft on mission, in a holding pattern or returning safely without a live control link.
Every extra aircraft usually needs another pilot, and manual control breaks down when GNSS is denied or the radio link degrades. Autonomy lets one operator assign intent and keeps the mission alive when the link is contested.
Ground robotics autonomy adds self-driving behaviour to UGVs and quadruped robots already in service. A retrofit autonomy computer provides localisation and mapping, traversability assessment, obstacle avoidance, waypoint and route execution, building and area scanning and follow-me, and commands the platform through its existing control interface.
The Autonomy Box installs on the host robot with its own sensors and connects to the existing vehicle or robot interface.
LiDAR and depth cameras build a local map. The planner generates routes and waypoints without requiring GPS.
The stack detects unexpected obstacles and evaluates traversability, adjusting the path in real time.
The robot runs patrols, building scans, follow-me or standoff inspection missions while reporting status to NOMAD or ATAK.
Most fielded ground robots must be driven continuously, which consumes operator attention and fails when the link is weak or the platform is out of sight. Autonomy turns those same platforms into mission systems that can patrol, scan and inspect on their own.
Demos
Drone Autonomous Target Tracking
A drone detects a moving ground target, follows it autonomously and keeps the gimbal locked while continuing its mission without continuous operator control.
FPV Loitering with Raspberry Pi
A low-cost FPV drone fitted with a Raspberry Pi companion computer holds a loiter pattern around a point of interest while streaming video and telemetry.
Autonomous Robotic Dog Building Scan
A robotic dog receives a building scan mission, enters the structure, navigates corridors, scans rooms and reports video and position back to the operator — without teleoperation.
UGV Hardware-in-the-Loop Simulation
A tracked UGV runs the Neuronic autonomy stack against a physics-based simulation, with real hardware in the loop, to validate navigation and obstacle avoidance before field deployment.
Quick answers
Tell us the platform, sensor and mission. We will walk you through integration options and arrange a technical demonstration.