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CORDIS

Cognitive Collaboration for Teaming

Project description

AI to help the transformation to single-pilot operations for commercial planes

As flying becomes more autonomous, pilots will be required to work with AI as efficiently and naturally as possible. To address this need, the EU-funded Co2Team project will introduce a strategy assisted by cognitive computing, involving a system that acts as an AI partner to collaborate with the pilot and ultimately assist during flight operations. The project will analyse all tasks and know-how needed by pilots to carry out their responsibilities and establish which of those should be kept and which should be assigned to the system. Ultimately, cognitive technology, AI and pilots will come together to improve in-flight information, communication and collaboration.

Objective

In a fast-evolving aeronautical environment (increase in environmental and technological complexity, pilot shortage), positioning a roadmap towards more autonomous flights through Single Pilot Operations (SPO) is a serious Human Factors challenge. Two main strategies towards autonomy are possible today: progressive crew reduction and Urban Air Mobility expansion (UAM drones). Co2Team proposes a crew reduction strategy assisted by cognitive computing to be more competitive versus the Urban Air Mobility strategy. Our objectives are based on three principles:
• The gradual design of a cognitive system enabling an intelligent pilot/system shared authority. A strategy of continuous progression enabling the gradual introduction of an “intelligent” system in the cockpit that can learn first passively from “listening” to all the data so as to “learn” the logics of piloting, and then enable hints and suggestions. Once approved, such system could assist pilot’s operations.
• An in-depth analysis of all tasks and knowledge necessary for pilots to perform their duties and determine what should remain in the authority of the pilot and what should be delegated to the system, using an iterative validation methodology.
• The possibility to work in parallel for technological improvements of UAM systems. Trained Artificial Intelligence with pilot know-how and airmanship (in our SPO/SPIC roadmap) will be a potential intelligence of future drone systems as an added value versus UAM systems.
Co2Team project propose firstly a study of what are the Human “real” tasks and knowledge that should be given last to the system and promote those for a SPO/SPIC cockpit. Such differentiation can only be done with expert pilots (Deutsche Lufthansa), experts in human factors in aeronautics and cognitive technologies (Bordeaux INP) and expert in Artificial Intelligence (DFKI).

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Funding Scheme

CS2-RIA - Research and Innovation action

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Call for proposal

(opens in new window) H2020-CS2-CFP08-2018-01

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Coordinator

INSTITUT POLYTECHNIQUE DE BORDEAUX
Net EU contribution
€ 203 855,00
Address
AV DU DOCTEUR ALBERT SCHWEITZER 1
33402 Talence
France
Region
Nouvelle-Aquitaine Aquitaine Gironde
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 332 480,00

Participants (4)