Background and activities
Martin Ludvigsen is Professor and manager of the Applied Underwater Laboratory (AUR-Lab) at the Department of Marine Technology NTNU where he teaches the course TMR4120 Underwater engineering. Trondheim, Norway. Central research interests includes control, design and operation of underwater vehicles and instrumentation. He has been involved in a variety of research projects both on deep sea research in the upper water column and in the arctic deploying robotic underwater vehicles.
The AUR-Lab is running a common pool of advanced underwater equipment and maintaining the interdisciplinary approach, the research group has provided robotic platforms and instruments for both engineers and scientists. Today, the AUR-Lab is considered an essential asset for multidisciplinary marine research at NTNU, facilitating a large body of research.
Since 2015 has held an Adjunct . Professorship in Marine Technology at the Svalbard University Centre (UNIS) in Longyearbyen where he teaches the course AT334/834 Arctic marine measurements techniques, operations and transport. He is currently affiliated scientist of the Centre for Autonomous Marine Operations and Systems (NTNU AMOS).
- TMR4120 - Underwater Engineering, Basic Course
- TMR4515 - Marine Control Systems, Specialization Course
- MR8500 - PhD topics in marine control and hybrid power systems
- TMR4585 - Marine Subsea Engineering, Specialization Course
- TMR4510 - Marine Control Systems, Specialization Project
- TMR4580 - Marine Subsea Engineering, Specialization Project
- BI3070 - Enabling Technology for Marine Ecological and Marine Sciences studies
- TMR4225 - Marine Operations
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
- (2019) Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Science robotics. vol. 4 (27).
- (2018) Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna. Scientific Reports. vol. 8 (1).
- (2018) Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics (JFR). vol. 35 (7).
- (2018) Use of an autonomous surface vehicle reveals small-scale diel vertical migrations of zooplankton and susceptibility to light pollution under low solar irradiance. Science Advances. vol. 4 (1).
- (2016) The use of underwater hyperspectral imaging deployed on remotely operated vehicle – methods and applications. IFAC-PapersOnLine. vol. 49 (23).
- (2016) Towards integrated autonomous underwater operations for ocean mapping and monitoring. Annual Reviews in Control. vol. 42.
- (2014) Scientific Operations Combining ROV and AUV in the Trondheim Fjord. Marine Technology Society journal. vol. 48 (2).
- (2007) Applications of Geo-Referenced Underwater Photo Mosaics in Marine Biology and Archaeology. Oceanography. vol. 20 (4).