Deployment Logistics and Automation

AIMS Chief Pilot, Joe Gioffre and hyperspectral research lead Dr Jon Kok conducting hyperspectral drone testing from the RV Cape Ferguson. Photo: Scott Bainbridge

To achieve the necessary scale and deployment efficiency, the interventions being developed under RRAP will require systems engineering and logistics support, deployment infrastructure and potentially, automation.

Working across the intervention R&D teams, the Deployment Logistics and Automation Subprogram will:

Determine the cost and capacity to deliver interventions at various scales
Identify the deployment needs and potential automation solutions for the interventions being developed
Provide essential inputs to the Modelling and Decision-Support Sub-Programs
Reduce risk and allow knowledge to be shared across the intervention development teams
Guide development of a new reef restoration industry sector.

Expected outcomes

The key outcomes of the Deployment Logistics and Automation Subprogram are:

Develop optimised deployment scenarios for use in modelling and decision-support assessments
Engage government, industry, and community (including Traditional Owners) in the challenge of developing a reef restoration sector that can deploy the methods and approaches developed in RRAP
Ensure best-practice engineering approaches are applied in RRAP intervention development
Increase productivity and safety of interventions by identifying and acting on opportunities for mechanisation and automation.