Adrian Bodenmann
University of Southampton, Tokyo University of Science, The University of Tokyo
Papers
5
Total Citations
44
H-Index
4
About
Adrian Bodenmann is a researcher specializing in deep-sea robotics, underwater mapping, and autonomous systems, with a particular focus on the exploration and assessment of deep-ocean mineral resources. His most impactful work centers on developing innovative methods for mapping manganese crust deposits — economically significant mineral formations found on seamounts at depths exceeding 800 meters. His 2020 paper on regional-scale estimation of manganese crust distribution, which has garnered 26 citations, represents a significant methodological advance, combining data from autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) to efficiently characterize these resources across large seafloor areas. Earlier contributions include pioneering techniques for 3D color seafloor reconstruction using single-camera systems and laser profiling, as well as real-time acoustic probe control for measuring manganese crust thickness — a capability previously limited to costly physical sampling and drilling. More recently, Bodenmann has expanded his research into human-swarm operations, exploring how robotic swarms can be deployed effectively in operational environments. His interdisciplinary body of work bridges marine geology, underwater robotics, and autonomous systems, making him a notable contributor to the field of deep-sea exploration technology.
Research Focus
Key Achievements
Top Papers
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- 5Industry Led Use-Case Development for Human-Swarm Operations2 citations · 2022