Melbourne Burwood Campus
At present robotic swarms must be told what goals to achieve and how goals can be decomposed into sub-goals. This constraint is limiting for swarms that perform missions in complex environments when it is not feasible to manually engineer/encode complete knowledge of what goal(s) should be pursued for every conceivable state. This is also a major drawback in situations where actions fail, new opportunities arise or events take place that strongly motivate changing the goals.
This project will address the above issue by investigating how intelligent robotic swarms can reason about, formulate, select and manage their goals/objectives autonomously.
Algorithms will be developed using Gazebo, the preferred simulator in DARPAs virtual robotics challenge. Depending on time and progress, the work can be evaluated using the Crazyflie drone platform.
Applications close 5pm, Monday 14 January 2019.
This scholarship is available over 3 years.
- Stipend of $27,082 per annum tax exempt (2018 rate)
To be eligible you must:
- be a domestic candidate (domestic includes candidates with Australian Citizenship, Australian Permanent Residency or New Zealand Citizenship).
- meet Deakin's PhD entry requirements
- be enrolling full time and hold an honours degree (first class) or an equivalent standard master's degree with a substantial research component.
Please refer to the research degree entry pathways page for further information.
Additional desirable criteria include:
- strong C++ programming experience and ideally some experience with hardware.
How to apply
Learn more about submitting a successful application on the How to apply page. Please email Dr Jan Carlo Barca before applying
For more information about this scholarship, please contact Dr Jan Carlo Barca
Dr Jan Carlo Barca
Senior Lecturer in Software Engineering and Internet of Things (IoT)
Email Jan Carlo Barca
+61 3 924 45083