01
OPERATOR CONTROL
Target selection and flight control
The operator selects or updates the intended point of interest and can adjust the flight path as conditions change.
Mission capabilities
Control the mission. Keep the target.
In environments where video and control links may face Electronic Warfare (EW) interference, quadcopter drones equipped with AI targeting offer crucial advantages. By autonomously identifying and engaging marked targets, even without reliable communication, these drones ensure mission success rates remain high. This autonomy minimizes reliance on external guidance, reducing the risk of collateral damage and iproving mission success.
02
CRUISE MODE
Stay stable through disruption
Maintain the azimuth while following the flight path. Support mission continuity when communication or video links are disrupted. Stable flight in crosswinds.
03
GUIDED MODE
Operator-supervised guidence
Allows the operator to update guidance during flight while the autonomy system remains active.
EXISTING ARDUPILOT DRONE
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DRONELAB AI & EW-RESILIENT COMMUNICATION MODULE
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AUTONOMOUS TARGET-ORIENTED MISSION
Integration
Built to fit the platforms already in service.
The autonomy and communications modules are designed for integration with existing ArduPilot-based drones—without requiring a new operating ecosystem.
Resilient communications
Uses the DroneLab EW-resilient communication module to support control and telemetry continuity.
Minimal technical setup
Simplified setup with firmware-based configuration.
Low training burden
Standard FPV control. Pilot needs minimal training to practice switching between different modes (manual/Guide/Cruise).
Modular solution
Drop-off integration into existing FPV platforms. Initial configuration is needed.
Competitive positioning
Resilience beyond an autonomous flight mode.
DroneLab combines proprietary autonomy software with EW-resilient communications.
FEATURE
DRONELAB AI DRONE
TYPICAL AUTONOMOUS / FPV SOLUTION
Cruise stability
High-precision Cruise mode designed to remain target-oriented in strong side winds and through video loss.
Stability and behavior vary by platform, flight controller setup and video-link availability.
Target lock
Pilot pre-selects a target in-flight, even when moving sideways; the system proceeds autonomously with operator override available.
May rely on continuous manual piloting or platform-specific autonomy tooling.
EW resilience
Designed around DroneLab’s resilient communications module and autonomous continuity when video is degraded.
Resilience depends on the radio, antenna installation and operator configuration.
Integration & setup
Mudular solution - for integration in existing ArduPilot platforms. Simple ecosystem (firmware updates, auto-bind, no extra configuration is required).
Often requires separate RX/TX setup and multiple mission-control programs.
Training requirement
Standard FPV control. Operator training is focused on target capture, autonomy monitoring and manual override.
Can require deeper RF configuration knowledge and continuous manual control.
Cost position
Low-cost.
Module price starts from 135 EUR
Module price starts from 135 EUR
Vary substantially by configuration and supplier. Price starts from 150 USD for AI module. Reference: The Fourth Law, Norda, Dwarf Engineering.
Field experience
Tested in controlled conditions. Preparing for field validation.
The DroneLab AI Drone has completed polygon testing. In-field testing is pending; demo-flight footage will be added after the next validation phase.
*Range depends on airframe, environment, antenna configuration, regulatory conditions and relay deployment.
Demo & integration
See how it fits your platform.
Request a demo or discuss an ArduPilot integration with the DroneLab team.