News Archives - Quaero

Smart Artificial Pilot Webinar

Joseph Markham — Wed, 16 Feb 2022 10:48:41 +0000

SMARTAP is an R&I project investigating the application of Artificial Intelligence (AI) and Machine Learning (ML) in the flight deck. This project is a collaboration between the Institute of Aerospace Technologies (University of Malta) and QuAero Ltd.

The purpose of this webinar will be to present the preliminary results of the project and to discuss various aspects related to the application of AI/ML to the aviation industry.

SMARTAP (R&I-2018-010-T) is a €195,000 project financed by the Malta Council for Science & Technology, for and on behalf of the Foundation for Science and Technology, through the FUSION: R&I Technology Development Programme.

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Smart FDM

admin — Fri, 23 Jul 2021 18:36:21 +0000

The approach phase, extracted from a NASA flight dataset, was used to develop an algorithm which brought to the researchers’ attention a number of anomalies in the progression of the flights in question. The aim of this project, and its follow-ons, is to develop smart tools using AI to advance aviation safety.

Smart FDM is financed by the Malta Council for Science & Technology, for and on behalf of the Foundation for Science and Technology, through the FUSION: R&I Technology Development Program.

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Maiden Flight for SkyMax

admin — Tue, 22 Jun 2021 19:36:20 +0000

What a week it has been! After several successful test flights, today marked the maiden flight for #SkyMax which will offer a UAV cargo delivery service between the Maltese islands. #SkyMax is the brainchild of #QuAero and #HandsOnSystems in collaboration with #PhoenixWings who designed and built the Manta Ray cargo drone.

This is the start of exciting times ahead ….

We would like to thank #TMCAD and #MATS for their support during this week of trials.

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Clean Flight Projects

admin — Tue, 23 Feb 2021 20:36:33 +0000

The objective of CF was to create a system and method to calculate highly optimised climb and descent profiles that can easily be flown by commercial aircraft. Following the conclusion of the project the consortium applied for, and were granted, a US patent (No: 9460629). CF2 focused on the operational and communications aspects of all of the stakeholders, so as to permit multiple aircraft to perform the highly optimised climbs and descents generated by the CF system. CF2 created a Concept of Operations (CONOPS) to facilitate this. A US patent application has also been filed for CF2.

CF was a collaboration between the University of Malta and QuAero Ltd. Whilst CF2 added Malta Air Traffic Services(MATS) to the original consortium members. In both cases, the University of Malta was the lead partner. Both projects were funded by the Malta Council for Science and Technology (MCST).

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