UAV, Sensing & Aeroacoustics R&D
Our research and development is focused on fundamental, high-risk questions that underpin the next generation of autonomous systems. The goal is to produce novel, patentable, and publishable research that solves critical limitations in robotics.
Core Research Area: Acoustic-Based Swarm Localisation
Our primary research effort is the development of a novel framework for acoustic-based swarm localisation for micro-UAVs. This technology is critical for enabling drones to operate safely and reliably in GPS-denied environments (e.g., indoors, disaster zones, post-blast mines). This work involves integrating advanced signal processing with resource-efficient, on-board machine learning on bespoke hardware.
Foundational Research: UAV-Based Bird Deterrence
Our approach is informed by foundational research in autonomous herding, including the development of "FerroFlock," a novel magnetodynamic framework for UAV-based bird deterrence. This work, which achieved over 90% effectiveness in trials, provides deep insights into multi-agent control, biomimetic algorithms, and flock dynamics that we now apply to more advanced challenges.