The Aerial Robotics Division develops autonomous multirotor aerial vehicles for a wide range of applications, including agricultural monitoring, urban infrastructure inspection, and wildlife surveillance. A strong emphasis on machine/computer vision, control algorithms, and systems engineering define Aerial Robotics' approach to multirotor innovation.


subsystems OVERVIEW

Primary Subsystems:

  • Mechanical (frame/structural and aerodynamics design, structural manufacturing, actuation mechanisms, propulsion requirements, airframe maintenance)

  • Electrical (communications selections, electronics or electrical manufacturing, propulsion selection and integration, payload actuation selection, camera selection and integration)

  • Software (software workflow, image processing algorithms/computer vision, automated data processing, camera requirements)

  • Flight Operations (flight strategy and workflow, operations checklists, regulations compliance, safety procedures)

 
Figure 1: concept of operations for 2016-17 multirotor

Figure 1: concept of operations for 2016-17 multirotor

 


AERIAL VEHICLES

 
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UT Blackhawk(2018-2019)
USC 2019 @ alma, qc

UT Blackhawk features a aerodynamic-shaped carbon-fibre fuselage that is light-weight and efficient during forward flight. It has a 5 kg takeoff mass. It is equipped with 3 communication links including flight controls, telemetry and FPV links. It has 2 payload cameras onboard for vision tasks: Teledyne Dalsa Genie Nano XL Robot Vision Camera and Runcam Eagle Pro FPV Camera.

 
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UT Blackhawk(2017-2018)
USC 2018 @ southport, mb

UT Blackhawk features a aerodynamic-shaped carbon-fibre fuselage that is light-weight and efficient during forward flight. It has a 5 kg takeoff mass. It is equipped with 4 communication links including flight controls, telemetry and 2 FPV links. It has 3 payload cameras onboard for vision tasks: Teledyne Dalsa Genie Nano XL Robot Vision Camera, Runcam Split FPV Camera and Connex Prosight FPV Camera.

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UT Skyhawk (2016-2017)
USC 2017 @ Alma, QC

UT Skyhawk features an aerodynamic-shaped fuselage for drag reduction. It has a 5 kg takeoff mass. It has 3 communication links including flight controls, telemetry and FPV. The vision payloads include a Leopard Imaging IMX274 4K Camera and a Garmin Virb 30 Action Camera. It is powered by Nvidia Jetson TX1 on-board computer. UT skyhawk is also equipped with an egg-retrieval mechanism for competition tasks.

 
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UT Whirlybird (2015-2016)
USC 2016 @ Southport, MB

UT Whirlybird has a 3 kg takeoff mass. It is equipped with 3 vision payloads: Teledyne Dalsa Genie Nano C1920 with 8mm lens, GoPro / Yi Action Camera and Raspi IR Camera. It has 2 communication links for flight controls and telemetry. It features a probe deployment servo mechanism. Its autopilot board is an EMLID Navio+ with Raspberry Pi 2.



ACHIEVEMENTS AND AWARDS

 
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Unmanned Systems Canada (USC)

2019 SUAS Competition

 

5th in Phase I Design Report
10th in Phase II Flight Operations

 
 
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Unmanned Systems Canada (USC)

2018 SUAS Competition

 

3rd in Phase I Design Report
10th in Phase II Flight Operations

 
 
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Unmanned Systems Canada (USC)

2017 SUAS Competition

1st in Phase I Design Report
4th in Phase II Flight Operations
Judges Award (for Professionalism and Reliability of Flight Operations)

 
 
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Unmanned Systems Canada (USC)

2017 SUAS Competition

 

2nd in Phase I Design Report
10th in Phase II Flight Operations

 

leadership TEAM 2019-2020

Abdul Derh  Director

Abdul Derh
Director

Jonathan Yan  Electrical Co-Lead

Jonathan Yan
Electrical Co-Lead

Timothy Lock  Advisor

Timothy Lock
Advisor

Madeline Zhang  Chief Engineer

Madeline Zhang
Chief Engineer

Justin Hai  Advisor

Justin Hai
Advisor

YihTang Yeo  Advisor

YihTang Yeo
Advisor

Hayley Yap  Mechanical Lead

Hayley Yap
Mechanical Lead

Katrina Cecco  Advisor

Katrina Cecco
Advisor


2019 competition highlights