This project aims to develop a Simultaneous Localization and Mapping (SLAM) system for autonomous inspection of solar power plants. The system will enable mobile robots or drones to navigate, map, and inspect large-scale solar farms in real time without reliance on GPS, which is often unreliable in certain terrains or under panel shading.
School
Photovoltaic and Renewable Energy Engineering
Research Area
SLAM and autonomous navigation | Solar energy systems
Suitable for recognition of Work Integrated Learning (industrial training)?
Please check with project lead
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The research will be conducted in a multi-disciplinary setting combining expertise in AI and solar energy systems.
A SLAM-based navigation system for autonomous inspection robots or drones in solar farms.
High-resolution 3D maps of solar plants with precise localisation.
