Problem solving and innovating solutions is at the core of what we do. Both project and internal developments have generated solutions for UAVs, UGVs, RSOs, data filtering and fusion and agricultural image processing. These solutions are applied in a commercial setting or made open source for the public to reap the benefits from.
From 30cm diameter indoor micro aerial vehicles to metre diameter helicopters to collaborative teams of drones, the team has worked on a range of UAVs. Unmanned Aerial Vehicles. These include dynamics and control as well as navigation and coordination. Our current hangar includes a fleet of Matrice 600 Pro UAVs, with onboard LiDAR and vision sensing, UWB positioning for UGV-UAV coordination and high-performance communication systems.
The latest autonomous tractor under development by A/Prof Jay Katupitiya takes advantage of years of experience in rugged systems to provide a testbed for improved perception and control systems.
Advanced astrodynamics models, nonlinear/non-Gaussian filtering/estimation, data association, GNSS measurement processing, precise/reliable orbit determination, measurement simulation techniques have been developed by Dr Yang Yang for general space navigation and space situational awareness applications.
With real-time data filtering, processing, network optimisation and fusion capabilities, the industrial strength system developed by Dr Jose Guivant has been used in applications from mining to education.
Robust and lightweight systems for sensing and real-time in-field processing using only smartphones have been developed by Dr Hiranya Jayakody.
A system for real-time phenology assessment and canopy density estimation has been developed in conjunction with SwarmFarm and ADAMA. This technology has been applied to a variable timing of sprayer for flower thinning.
Techniques for image processing have also been developed into open source tools for analysis of stomata in microscope images and QR code metadata storage and retrieval for rapid sample data association.