Autonomous Systems for Marine Observations

This project will further the field of underwater robotics by developing and expanding approaches to vehicle mission planning, beginning in lower-risk coastal (shallow) conditions.

The Problem

Exploring costal and marine environments is essential to understanding costal health and biodiversity. Covering large areas manually can be extremely costly and time consuming.

The Solution

Autonomous underwater vehicles are a cost and labour efficient mechanism that can be used to increase spatial coverage and monitoring of marine systems. This project aims to develop and create adaptive vehicle guidance algorithms for heuristic mission planning, particularly to enable greater vehicle efficiency and improved control based on sensor output. A multi-vehicle approach will be considered, including the structure of the fleet, intervehicle communication and fault tolerance.

Collaborators

This project is lead by Andrew Filisetti and is supported by Postdoctorate fellow Hui-Sheng Lim.