Imagine a smart co-pilot for air traffic controllers that can actually tell when they are stressed or overwhelmed. It listens to conversations between pilots and controllers to understand what's happening in real-time. Then, it steps in to handle routine tasks only when the human needs a break or extra help. It's like having a digital teammate that knows exactly when to take over the heavy lifting.
Air traffic controllers face high workloads and stress, which can limit airspace capacity and safety. Current AI tools often lack the ability to understand human intent or stress levels, leading to a lack of trust and inefficient human-AI collaboration.
A first prototype of an Intent Inferring Service that recognizes pilot requests and predicts controller actions, along with an ontology for pilot-controller exchanges.
If you are an ANSP dealing with increasing traffic congestion and controller burnout — this project developed a Teamwork Assistant that dynamically allocates tasks between humans and AI. This leads to improved operational efficiency and increased airspace capacity.
If you are a software developer dealing with rigid automation tools that controllers distrust — this project developed an intent-inferring service using speech recognition. This allows AI to anticipate human needs, fostering trust and usability in cockpit or tower environments.
If you are an airline dealing with inefficient flight paths and high fuel costs — this project developed AI-driven coordination that enables more optimal trajectories. This results in cost reductions for airlines and a lower environmental impact.
Based on available project data, no specific pricing or cost information is provided.
The project is currently validating a Teamwork Assistant at TRL2, meaning it is in the early prototype stage and not yet ready for full industrial scale.
Based on available project data, there is no mention of specific IP or licensing agreements.
The project intends to integrate the Teamwork Assistant directly into ATCO workstations to assess performance and usability through validation exercises.
The project period runs from 2024-09-01 to 2027-02-28, suggesting the technology is still under development.
The consortium is composed of 6 partners across 5 countries, showing a strong European footprint. With a 33% industry ratio (including 2 industry partners and 1 SME), there is a balanced mix of academic research and commercial application, ensuring the AI tools are grounded in operational reality.
Contact SINTEF AS in Norway for technical inquiries regarding the Intent Inferring Service.
Contact SciTransfer to explore licensing opportunities for the TRL2 Teamwork Assistant.
