Coastal waters and fresh water bodies are complex environments that are highly variable over space and time. This makes spatio-temporal monitoring essential to understand and protect these environments. Unmanned systems
Swarm intelligence is the collective emergent behavior of decentralised, self-organising systems that typically consist of a population of simple agents interacting locally with one another and with their environment. While
One the key cost and complexity drivers for autonomous underwater vehicles (AUVs) is navigation. Since GPS signals cannot penetrate water, AUVs traditionally rely on inertial or acoustic navigation to know
The small team of autonomous robotic fish (STARFISH) project was conceptualized to explore the use of multiple cooperative autonomous underwater vehicles (AUVs) for underwater sensing and monitoring applications. To support
We developed a real-time acoustic bandwidth compression algorithm that enables acoustic signals with large bandwidth to be compressed into a band that we can hear. One application of this algorithm
Snapping shrimp dominate the high-frequency soundscape in warm coastal waters. The extremely impulsive and loud noise generated by these small creatures is a result of the collapse of cavitation bubbles
Just like we use ambient light to see things around us, why not use ambient noise in the ocean for sensing? The principle underlying ambient noise imaging (ANI) makes use