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

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.

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Senior Research Fellow
Lecturer at School of photovoltaic and renewable energy engineering Moonyong Kim
Lecturer at School of photovoltaic and renewable energy engineering
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Deputy Head of School (Research) Bram Hoex
Deputy Head of School (Research)
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