3 accepted papers
Enabling autonomous robots to navigate, explore, and map underwater caves safely and efficiently is of significant importance to marine robotics and archaeology. In this work, we demonstrate the system design and algorithmic integration of a visual servoing capability for semantically guided autonom…
This paper explores the design and development of a language-based interface for dynamic mission programming of autonomous underwater vehicles (AUVs). The proposed 'Word2Wave' (W2W) framework enables interactive programming and parameter configuration of AUVs for remote subsea missions. The W2W fram
In this paper, we present CaveSeg - the first visual learning pipeline for semantic segmentation and scene parsing for AUV navigation inside underwater caves. We address the problem of scarce annotated training data by preparing a comprehensive dataset for semantic segmentation of underwater cave sc…