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.
AI Digital Assistants for Single-Pilot Aircraft Operations and Cockpit Workload Management
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.
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.
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.
Who needs this
Who can put this to work
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.
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.
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.
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.
Contact Honeywell International SRO in Czech Republic
Talk to the team behind this work.
Contact us to explore licensing opportunities for TRL7 AI cockpit assistants.