Integrated Logistics and Automation

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

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 Integrated 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 Integrated 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.
Cloud brightening field trials

Cloud brightening field trials. Photo courtesy of Southern Cross University.

Current projects

Logistics Modelling

This project will develop and apply models, algorithms and workflow processes to provide logistics modelling and optimisation for a Great Barrier Reef restoration industry, while supporting an iterative and agile interaction with the broader RRAP Program.

Industry Development

This project will build an evidence-based sector development roadmap, developed with key stakeholders, for the establishment of a reef restoration industry and community sector, and an implementation plan for developing the supply side required to implement major intervention trials.

Engineering Support

This project provides engineering support for the RRAP R&D Program, including mechanical, chemical, electrical, civil/structural, data and integrated engineering. The project’s key objective is to ensure seamless research and technology handover to restoration implementers and practitioners.

Automation Prospecting and Progression

The objective of this project is to identify, develop, and robustly evaluate a long list of automation and emerging technology opportunities among RRAP Sub-programs and management required to achieve the productivity and supply chain process and desired deployable intervention efficacy scales.

Subprogram co-leaders: