Devy Kuswidiastuti
Papers
1
Total Citations
1
H-Index
1
About
Devy Kuswidiastuti is a researcher advancing the field of autonomous underwater robotics, with a primary focus on intelligent navigation and computer vision for marine infrastructure inspection. Her most notable work centers on developing an Autonomous Underwater Vehicle (AUV) capable of autonomously following underwater pipelines using YOLOv8 instance segmentation integrated with the Robotic Operating System (ROS). This contribution addresses a critical challenge in offshore operations: enabling precise, operator-free navigation for pipeline monitoring. By combining state-of-the-art deep learning with robust robotic middleware, Kuswidiastuti’s approach significantly reduces human workload and enhances inspection efficiency. Her work has immediate implications for the oil and gas industry, where reliable underwater infrastructure maintenance is paramount. While her 2024 paper has already garnered initial citations, the practical impact of her methodology—bridging real-time object detection with autonomous control—positions her as an emerging voice in marine robotics. Kuswidiastuti’s research exemplifies the growing synergy between artificial intelligence and field robotics, offering a scalable solution for autonomous underwater tasks beyond pipeline tracking, including environmental monitoring and offshore asset management.
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Top Papers
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