Swarm

Fully Autonomous Remote Control Drones

Abstract

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Project Overview

Abstract

With numerous applications in civilian and military environments, research into autonomous drone swarms is a growing field. Full autonomous flight of multiple drones flying in close proximity to one another is a difficult task to accomplish; with collision avoidance being the major obstacle to overcome. The purpose of this project was to develop a drone capable of swarm integration. The design of a multi axis positioning and anti-collision system was tested to ensure the effectiveness of the drone’s swarm capability. Through the use of Mission Planner and ArduPilot, flight data was collected and drone operation was achieved. The results from the test flights show the capability of self-correcting autonomous drone flight. This drone design model is now ready for further swarm integration and testing.

Our Goal

The goal of our Drone Swarm project is to construct and program two drones with swarm capabilities. The drones will be able to simulate group flight with parallel routes in close proximity without collision or user input. Additionally, the drones will have the ability to operate in indoor and outdoor environments. The materials obtained for this project will be through parts provided by the Drone Club and ordered parts from the approved budget by the university.

The Team

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Anzam Sheak
Web Design/ Build Team
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Natalie Jones
Team Leader
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Maggie Atkinson
Documenter
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Daley Goff
Build Team/ Sensor Integration
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Anthony Torres
Photographer/ Build Team
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Mahmoud Zeid
Programmer/ Build Team
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Tim Kent
Sensor Integration/ Programmer
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Austin Worrell
Build Team/ Sensor Integration
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Logan Johnson
Web Design/ Programmer

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Where the Magic Happens.

Swarm Test

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