Summary
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).
• 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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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/831891 |
| Start date: | 01-01-2019 |
| End date: | 31-03-2022 |
| Total budget - Public funding: | 795 905,00 Euro - 795 905,00 Euro |
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Original description
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).
Status
CLOSEDCall topic
JTI-CS2-2018-CFP08-THT-02Update Date
26-10-2022
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