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Co2Team

Financiado

Cerrado

Cognitive Collaboration for Teaming

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 F... ver más

31/03/2022

Bordeaux INP

796K€

Presupuesto del proyecto: 796K€

Líder del proyecto

INSTITUT POLYTECHNIQUE DE BORDEAUX No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 5 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-03-31

JTI-CS2-2018-CFP08-THT-02: Cognitive Computing potential for c...

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

5 Participantes

Bordeaux INP

332.48K€ | Lider

CATIE

128.63K€ | Participante

DEUTSCHE LUFTHANSA

N.D. | Participante

DFKI

353.18K€ | Participante

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Duración del proyecto: 39 meses Fecha Inicio: 2018-12-11
Fecha Fin: 2022-03-31

Líder del proyecto

INSTITUT POLYTECHNIQUE DE BORDEAUX No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 796K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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).

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