Project Overview
The core goal of this project is to develop specialized autonomous surveillance drones that can navigate complex environments without human intervention. We are currently in the concept and early prototyping phase, focusing on creating robust systems that combine real-time computer vision for object tracking with stable, efficient flight controllers. Our primary objective is to push the boundaries of what's possible with edge computation in robotics, particularly for search and rescue or monitoring missions.
Status: Concept stage. More updates and technical details coming soon.
The AIR Research Group Team
What We're Building
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Real-time Computer VisionIntegrating object detection and tracking pipelines that run on edge hardware, enabling the drone to identify and follow targets autonomously in real time.
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Autonomous Flight ControlDeveloping stable, efficient flight controllers that allow the drone to navigate complex environments - indoors and outdoors - without human intervention.
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Edge ComputationPushing the boundaries of on-device AI inference for robotics, optimising models to run within the power and compute constraints of a drone platform.