Overview
About the project
With increasing efficiency needs in warehouses, this research proposes the use of multi-objective multi-agent reinforcement learning (MO-MARL) strategies to develop coordination and task allocation algorithms for autonomous mobile robots in warehouse environments. The use of MOMARL is motivated by the existence of competing objectives in warehouse operations, such as time, energy and safety. One of the challenges is the presence of uncertainties in the consumer demand, which may lead to changes in desired optimal placement of the inventory, which needs to be accommodated in the algorithms. Another challenge is the non-uniformity in the requirements of warehouses, especially in MSMEs across the industries. Therefore, the learning mechanism in the proposed approach can facilitate generalization in the developed algorithms
The Coordinated Control and Task Allocation for Autonomous Mobile Robots in Warehouses Using Multi-objective Multi-agent Reinforcement project is offered at Deakin University.
Programme Structure
- The proposed project can lead to improved operational efficiency in a variety of warehouse management problems with coordinated control of autonomous mobile robots.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Artificial Intelligence Machine Learning Production and Manufacturing Engineering View 15 other PhDs in Machine Learning in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- academic transcripts
- curriculum vitae (CV) detailing publications, relevant professional and research experience
- evidence of English language proficiency
- statement of purpose (a written statement of your motivation)
- contact details of two academic referees.
- CRICOS Provider Code: 00113B
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months. -
National
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months.
All successful applicants will receive a scholarship that will cover tuition fees, a stipend and financial support.
Living costs for Geelong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Coordinated Control and Task Allocation for Autonomous Mobile Robots in Warehouses Using Multi-objective Multi-agent Reinforceme.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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