SciTransfer
DARWIN · Project

AI Digital Assistants for Single-Pilot Aircraft Operations and Cockpit Workload Management

transportPilotedTRL 7

Imagine a co-pilot that is actually a smart computer program. It watches the pilot for signs of tiredness and handles the boring or complex parts of flying so one person can safely fly a plane. It's like having a high-tech safety net that explains its decisions and steps in when the human is overwhelmed.

By the numbers
3,460,077
EU Contribution in EUR
7
Total deliverables
2
EASA AI Level
4
Target Automation Level
The business problem

What needed solving

Aviation faces a growing pilot shortage and increased airspace complexity due to drones and air taxis. Current cockpits require full crews to maintain safety, which limits operational efficiency and increases costs.

The solution

What was built

A three-layer AI system comprising a Trustworthy Machine Reasoning Platform, a Human-AI Collaboration layer, and a Pilot State and Taskload Monitor.

Audience

Who needs this

Aircraft manufacturers (OEMs)Commercial airlinesUrban Air Mobility (UAM) operatorsCargo drone companiesFlight certification authorities
Business applications

Who can put this to work

Aviation Manufacturing
enterprise
Target: Aircraft OEM

If you are an aircraft manufacturer dealing with the transition to single-pilot operations — this project developed a Level 2 AI system that reduces pilot workload. This allows you to design cockpits for the CS-23 and CS-25 markets that maintain safety with fewer crew members.

Urban Air Mobility
mid-size
Target: Air Taxi Operator

If you are an air taxi operator dealing with high airspace complexity and pilot shortages — this project developed human-AI teaming technology. This ensures your fleet can operate efficiently and safely even with the emergence of new airspace users.

Logistics
SME
Target: Cargo Drone Operator

If you are a drone operator dealing with the need for scalable and automated flight operations — this project developed a trustworthy machine reasoning platform. This provides the transparent decision-making needed to integrate drones into the Digital European Sky.

Frequently asked

Quick answers

What is the cost or pricing for implementing this AI system?

Based on available project data, the specific commercial pricing is not mentioned, though the EU provided a contribution of EUR 3,460,077 for development.

Can this technology be scaled to large commercial aircraft?

Yes, the project uses commuter aircraft (CS-23) as a steppingstone to enter the large aircraft (CS-25) market.

Who owns the IP and how is licensing handled?

Based on available project data, specific IP and licensing terms are not disclosed, but the project is coordinated by Honeywell International SRO.

How does the system handle aviation safety regulations?

The project analyzes regulatory gaps and challenges regarding AI software implementation to ensure the system is certifiable and meets EASA Level 2 AI definitions.

When will the technology be ready for deployment?

The project period runs from 2023-06-01 to 2026-05-31, aiming for a TRL7 system validated in an operational environment.

Consortium

Who built it

The consortium is heavily industry-driven with a 60% industry ratio, consisting of 3 industrial partners and 2 research entities across 5 countries. Led by Honeywell International SRO, the group includes one SME, indicating a strong focus on commercial viability and integration into the existing aviation supply chain rather than pure academic research.

How to reach the team

Contact Honeywell International SRO in Czech Republic

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for TRL7 AI cockpit assistants.

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