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| title = AERO McGill
| image = [[Image:Aero.jpg|300px]]
| headerstyle = background-color:#eee
| labelstyle = background-color:#ddd;
| header1 = Executives 2018-2019
| image =[[Image:AEROexec.jpg|300px]]
| label2 = Executive Director | data2 = Callaghan Wilmott
| label3 = Team Captain| data3 = Adam Targui
==Upcoming Competitions==
[[File:Aero_team.jpg|thumb|right|220px|The Aero Team 2016-2017]]
This year AERO teams will be competing in four three different competitions – three two featured from the [http://students.sae.org/cds/aerodesign/east/ SAE Aero Design East Series] and one from [https://unmannedsystems.ca/ Unmanned Systems Canada.]
==Core Competitions==
===Advanced Team===
[[File:aeromcgillaircrafts.jpg|thumb|right|220px|The Aero Team 2016-2017]]
In 2019, AERO McGill is planning on competing in the Advanced Class of the SAE Aero Design Series once again. The objective is to design, build, and operate a remote controlled aircraft to drop a variety of payload, including fully autonomous gliders, on target in a designated drop-zone. Points are earned for accuracy of the drop and maximum payload lifted.
In 2016, the team participated in this competition for the first time, and placed 8th overall. The team was able to both successfully fly and drop the packages on targets. In 2017, we placed 9th overall due to an unfortunate crash early in the competition, followed by a similar fate in 2018. Renewed by these failures, the team has made major changes in design and is attacking the new ruleset of 2019 with vigour.
===Unmanned Systems Canada===
[[File:Aero_team.jpg|thumb|right|220px|The Aero Team 2016-2017]]
In 2019, AERO McGill will compete in the Unmanned Systems Canada competition from May 3rd to 5th at Alma, Quebec. The objective is to design, build, and operate an autonomous fixed-wing or multirotor aircraft. The competition’s scenario is changed annually. This year, the team’s mission is set in a damage assessment scenario. Tasks include Beyond Visual Line of Sight (BVLOS) survey, detailed inspection, and payload delivery. The vehicle is limited to a gross weight of maximum 10 kg (22 lbs) and must be capable of autonomously completing a variety of ground oriented tasks such as terrain mapping and target analysis.
[[Category:Design Teams]]