
Mission computers for drones
Onboard computers that process sensor data, run autonomy and AI algorithms and manage the payload.
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FeaturedMission computersA179 Lightning embedded mission computer
- AI performance
- 21 TOPS
- RAM
- 8 GB
- Grade
- Professional
FeaturedMission computersAnvil-RX embedded mission computer
- Grade
- Professional
- Market
- Civil
- Availability
- In production
FeaturedMission computersRudi-NX embedded mission computer
- Grade
- Professional
- Market
- Dual-use
- Availability
- In production
FeaturedMission computersVOXL 2 AI companion computer and flight controller
- AI performance
- 15 TOPS
- RAM
- 8 GB
- Grade
- Professional
Featured
FeaturedMission computersVPX mission computers embedded mission computer
- Grade
- Professional
- Market
- Defense
- Availability
- In production
Featured
FeaturedMission computersA230 Vortex embedded mission computer
- AI performance
- 248 TOPS
- RAM
- 64 GB
- Grade
- Professional
Featured
Featured
Featured
FeaturedMission computersA178 Thunder embedded mission computer
- AI performance
- 32 TOPS
- RAM
- 32 GB
- Grade
- Professional
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Mission computers for drones: autonomy, perception and payload
Updated November 3, 2026
A mission computer is the onboard processor that handles the heavy computing work the flight controller should not do: sensor fusion, computer vision, AI inference, path planning, payload control, video encoding and data storage. It sends high-level commands to the flight controller, which keeps the vehicle flying safely.
Types
- Companion computers: small boards with GPU or neural accelerators, used on professional multirotors for vision and autonomy.
- Rugged mission computers: sealed, conduction-cooled units with defence-grade connectors for military and harsh environments.
- Modular open architectures: computers based on standards such as VPX, with interchangeable processing, graphics and I/O cards.
Key specifications
- Processor and accelerator: CPU cores, GPU, FPGA or neural processing units, and their AI performance (TOPS).
- Power consumption and the heat it generates, against the cooling available.
- Camera and sensor inputs: MIPI, GMSL, Ethernet, USB.
- Video encoding for the downlink.
- Interfaces to the autopilot and payload: Ethernet, CAN, serial.
- Storage capacity and encryption.
- Ruggedness: temperature range, shock, vibration, sealing (IP rating), MIL-STD-810 and MIL-STD-461 qualification.
- Software support: Linux, ROS 2, AI frameworks and security features such as secure boot.
Choosing
Start from the workload: how many cameras, at what resolution, running which algorithms, and at what latency. Then check the power and thermal budget of the airframe. A computer that throttles when it overheats will not deliver its datasheet performance in flight.
Manufacturers in the directory
Examples include Curtiss-Wright, Aitech, Auterion, ModalAI and Connect Tech.
Frequently asked questions
Why not run autonomy on the flight controller?
Autonomy and vision need far more computing power than a flight controller provides, and their software is more complex. Keeping them on a separate computer protects the real-time, safety-critical flight control from being disturbed.
What does TOPS mean for an AI computer?
Tera operations per second: a measure of the peak throughput of an AI accelerator. It is useful for rough comparison, but real performance depends on the model, precision and software optimisation.
What is VPX?
A family of standards (VITA) for rugged, modular embedded computers built from plug-in cards. It is common in defence and aerospace because it allows upgrades and multi-vendor systems.
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