PX4 and ArduPilot are two of the most capable open-source autopilot platforms available. Both can control sophisticated uncrewed vehicles, communicate with companion computers, and support autonomous missions.
The right choice depends on what you are building.
For projects centered on broad vehicle support, mature built-in features, and extensive configuration, ArduPilot may be the better fit.
For research platforms built around ROS 2, companion-computer autonomy, custom control modes, perception, and rapid experimentation, we generally lean toward PX4.
The quick comparison
| Category | PX4 | ArduPilot |
|---|---|---|
| Best suited for | Robotics research and custom autonomy | Feature-rich and highly configurable vehicles |
| ROS 2 integration | Deep integration with custom ROS 2 flight modes | Native ROS 2 support through AP_DDS |
| Companion computers | Central to the development architecture | Supported through MAVLink and DDS |
| Vehicle support | Strong aerial and rover support | Exceptionally broad vehicle support |
| Licensing | Permissive BSD 3-Clause | GNU GPLv3 |
| Our preference for autonomy research | Usually PX4 |
Depends on the project |
Why PX4 stands out for ROS 2 development
ArduPilot now supports ROS 2 natively through its AP_DDS library. It exposes vehicle data and control interfaces through ROS-compatible messages, making it possible to connect ArduPilot to a larger robotics system without relying entirely on MAVLink.
PX4 takes the integration a step further.
The PX4 ROS 2 Interface Library allows developers to create flight modes in ROS 2 and dynamically register them with PX4. These external modes can appear alongside native PX4 modes in a ground-control station. ROS 2 applications can also provide external navigation estimates, execute custom behaviors, and access selected PX4 uORB messages.
This is especially valuable for research involving:
- Visual-inertial odometry
- GPS-denied navigation
- Obstacle avoidance
- Autonomous inspection
- Multi-vehicle coordination
- Custom guidance and control
- Perception-driven behaviors
- Experimental autonomy algorithms
Instead of treating the companion computer as an outside system that only sends commands, PX4 allows it to participate more directly in the vehicle’s control and navigation architecture.
Where the autonomy software should run
Most autonomous vehicles divide their software between a flight controller and a companion computer.
The flight controller typically handles:
- Sensor processing
- State estimation
- Rate and attitude control
- Actuator output
- Immediate failsafe behavior
The companion computer typically handles:
- Computer vision
- Mapping and localization
- Path planning
- Object detection
- Machine-learning inference
- Mission-level decisions
Both PX4 and ArduPilot support this division.
PX4 becomes particularly attractive when the companion computer is central to the vehicle rather than an optional mission accessory. Its ROS 2 tools are designed for systems in which perception, planning, navigation, and flight control must work together as parts of one robotics stack.
Where ArduPilot has the advantage
ArduPilot’s greatest strength is its breadth.
It supports multirotors, conventional aircraft, helicopters, rovers, boats, submarines, balancing robots, and numerous specialized vehicle configurations.
That makes ArduPilot a strong choice when:
- The vehicle uses an unusual frame or configuration.
- A mature ArduPilot feature already solves the requirement.
- The project prioritizes field operation over architectural experimentation.
- ROS 2 is useful but not central to the system.
- The team already has significant ArduPilot experience.
Choosing PX4 simply because it appears more research-oriented can create unnecessary development work if ArduPilot already supports the required vehicle and mission.
Licensing may affect future commercialization
PX4 uses the permissive BSD 3-Clause license. PX4 documentation states that the software can be modified and incorporated into proprietary products as long as the required copyright and license notices are retained.
ArduPilot uses the GNU GPLv3 license. ArduPilot notes that proprietary higher-level software can still run on a companion computer, but modifications to covered ArduPilot code must follow the GPL’s requirements when distributed.
The difference may not matter during an early university project, but it can become important when research moves toward:
- Commercial products
- Technology transfer
- Proprietary flight-control modifications
- Customer deployments
- Closed-source integrations
Licensing should be considered early rather than after the hardware and software architecture have already been finalized.
Our conclusion
ArduPilot is often the practical choice for vehicles that need broad support, mature features, and extensive configuration.
PX4 is generally our preferred starting point when the vehicle is being developed as a complete autonomous robotics platform.
Its ROS 2 integration, external flight modes, direct messaging interfaces, companion-computer architecture, and permissive license make it particularly well suited for researchers and developers who need to replace components, test new ideas, and move between simulation and physical hardware.
PX4 is not automatically better than ArduPilot.
It is better aligned with a particular type of project: one in which the intelligence of the vehicle extends well beyond the autopilot.
Building your own PX4 platform
Avian Automata developed the 305AP flight controller for developers who want to build directly on PX4.
The 305AP provides eight PX4-compatible PWM or DSHOT motor outputs, USB-C connectivity for firmware installation and MAVLink communication, and automatic connection with QGroundControl. It also has its own PX4 build target, allowing developers to build and install PX4 specifically for the board.
It is designed to provide a practical hardware foundation for:
- PX4 development
- Autonomous aircraft
- University research
- Companion-computer integration
- Custom vehicle platforms
- Flight-control experimentation
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