Machine learning path replanning for AUV

Development of machine learning based in-situ path coverage planning/replanning and control algorithm for an AUV to carry our underwater survey missions using sensors

Degree type

PhD

Closing date

1 June 2024

Campus

Launceston

Citizenship requirement

Domestic

About the research project

The applications of AUVs are wider and wider in terms of depth range and dynamic environments, especially under-ice missions, thus require increased autonomy and smart replanning and control algorithms. This project involves developing machine learning based algorithms for complete coverage and path replanning and control of AUVs with numerical simulation and field experiments. Current trend does not show that many intelligent replanning and control algorithms could be verified and validated on real-world AUVs under dynamic changing / challenging underwater environments, especially the effects of unmeasurable ocean currents and in-observable underwater obstacles. The proposed project will focus on the online path replanning and control of the AUV. The proposed algorithm once having been formulated and verified by the numerical solution will be verified and validated onboard a real-world AUV available at AMC.


The main purpose is to solve the problem of online/real-time/in-situ implementation of complete coverage path planning/replanning and trajectory tracking control of AUVs due to the changing environments such as ocean currents and obstacles existing in the transects and regional of interest of mission as well as noisy measurement data from sensors. The target is to formulate the proposed algorithm, and then verify and validate it by both numerical simulation and field experiments using an available real-world AUV under real-world changing environment. The novelty contributions of the project will be depending on the selected method with improved computing algorithms and further developed components in comparison with those in the literature.

Primary Supervisor

Meet Dr Hung Nguyen

Funding

Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $32,192 per annum (2024 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Other funding opportunities and fees

For further information regarding other scholarships on offer, and the various fees of undertaking a research degree, please visit our Scholarships and fees on research degrees page.

Eligibility

Applicants should review the Higher Degree by Research minimum entry requirements.

Ensure your eligibility for the scholarship round by referring to our Key Dates.

Additional eligibility criteria specific to this project/scholarship:

  • Applicants must be able to undertake the project on-campus
  • Applications are open to Domestic/ International/ Onshore applicants
  • English language score must be at least equal or above minimum entry requirements for this project

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Understanding of guidance navigation and control of a marine vehicle (underwater vehicle)
  • Experience in programming, especially real-time programming, with various languages such as MATLAB/Simulink, LabVIEW, C/C++/C#, Python

Additional desirable selection criteria specific to this project:

  • Understanding of marine vehicle hydrodynamics/dynamics
  • Prior knowledge and skills as well as experience in control engineering, instrumentation and electrical/electronic engineering

Application process

  1. Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
  2. Contact Dr Hung Nguyen to discuss your suitability and the project's requirements; and
  3. In your application:
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
  4. Apply prior to 1 June 2024.

Full details of the application process can be found under the 'How to apply' section of the Research Degrees website.

Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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