Multiobjective optimisation and path planning for autonomous ground vehicles
Project Leader: Chris Manzie
Staff: Iman Shames
Sponsors: BAE Systems
Primary Contact: Chris Manzie (firstname.lastname@example.org)
Keywords: applied control theory; autonomous systems; control and signal processing; optimisation
Disciplines: Electrical & Electronic Engineering
This project will consider developing path planning algorithms for single and multiple vehicle fleets under different levels of uncertainty and risk within the environment. The paths will need to consider potentially competing multiple objectives, and the need for online replanning as new information becomes available. There will be opportunities to implement algorithms on hardware and work within a team of industry and academic collaborators. Only open to Australian citizens, and stipend topups are available for H1 students.