Lunar rover planning
Global path planning for Roo-ver under uncertain terrain and operating conditions.
I lead global path-planning research for the ELO2 project at the University of Sydney. The research asks how a rover should choose routes when its terrain knowledge is incomplete and its operating resources are limited.
My work includes Monte Carlo tree search and belief-space planning methods in simulation. I also coordinate planning research, technical documentation and system requirements with the robotics team.
Mission context
Roo-ver is Australia’s first lunar rover. The official programme describes a semi-autonomous rover developed by the ELO2 Consortium in partnership with the Australian Space Agency. Its planned lunar operations include collecting data and supporting exploration activities. The University of Sydney is a consortium partner.