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This paper discusses advancements in multimodal AI-powered robotic inspections for oil and gas facilities, focusing on enhancing operational safety and efficiency. By integrating visual, thermal, and acoustic data, the approach enables autonomous tasks such as gauge reading and anomaly detection, leading to predictive maintenance and reduced downtime. The innovative methodology aims to improve reliability and safety in hazardous environments, particularly offshore, while minimizing human exposure to risks.

Author

febri

Language

EN