학술논문
Multirobot Multimodal Deep Sea Surveys: Use in Detailed Estimation of Manganese Crust Distribution
Document Type
Periodical
Author
Source
IEEE Robotics & Automation Magazine IEEE Robot. Automat. Mag. Robotics & Automation Magazine, IEEE. 31(1):84-95 Mar, 2024
Subject
Language
ISSN
1070-9932
1558-223X
1558-223X
Abstract
This article describes a multiyear survey of cobalt-rich manganese crust (Mn-crust) deposits using multiple underwater robots. Using two autonomous underwater vehicles and one remotely operated vehicle, mounted with camera systems, multibeam sonar, and subbottom sensors, large areas were surveyed by incorporating the advantages of each robot to create a comprehensive database of Mn-crust distribution estimates. The robots clocked in a total of 438 hours of seafloor observation, surveying about 589 km of seafloor in different locations. Specific use cases of the survey methodology and example results showing how each sensor contributes to the understanding of Mn-crust distribution are shown. The results from this survey can be combined with ship base multibeam data for seamount-scale estimates of Mn-crust volumetric distribution with high accuracy.