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AI-driven solar maintenance robots are autonomous systems designed to monitor, clean, and repair solar panels using artificial intelligence. They use sensors, computer vision, and machine-learning algorithms to detect faults, optimize cleaning schedules, and navigate solar farms efficiently. By reducing manual labor, increasing panel efficiency, and enabling predictive maintenance, these robots help lower operational costs and improve the overall performance and lifespan of solar energy installations.

Produktbeschreibung
AI-driven solar maintenance robots are autonomous systems designed to monitor, clean, and repair solar panels using artificial intelligence. They use sensors, computer vision, and machine-learning algorithms to detect faults, optimize cleaning schedules, and navigate solar farms efficiently. By reducing manual labor, increasing panel efficiency, and enabling predictive maintenance, these robots help lower operational costs and improve the overall performance and lifespan of solar energy installations.
Autorenporträt
Dr. R. Arularasan is currently working as an Assistant Professor in the Department of Mechatronics Engineering at Agni College of Technology, with over eight years of academic and research experience in the field of Mechanical Engineering, with a specialization in Manufacturing Engineering.