Navigation

  • Skip to Content
NTNU Home NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Martin Ludvigsen

Download press photo
Download press photo
Foto:

Martin Ludvigsen

Professor
Department of Marine Technology

martin.ludvigsen@ntnu.no
+4791897272 2.269 Professor Mørchs hus Tyholt, Trondheim
About Publications Teaching

About

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).

Fields of interest:

Underwater robotics, Unmanned vehicles, Vehicle control, Autonomy, Adaptive planning, Inertial Navigation Systems, Acoustic navigation, Computer Vision, Sonar, Arctic Technology, Arctic Observation Systems, Marine minerals

Competencies

  • Acoustic navigation
  • Adaptive control
  • Arctic Observation Systems
  • Arctic Technology
  • Computer Vision
  • Inertial Navigation Systems
  • Marine Robotics
  • Marine minerals
  • Sonar
  • Underwater robotics
  • Unmanned vehicles
  • Vehicle control

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2019

  • Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir. (2019) Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Science robotics
    Academic article

2018

  • Ludvigsen, Martin; Berge, Jørgen; Geoffroy, Maxime; Cohen, Jonathan H.; De La Torre, Pedro R.; Nornes, Stein Melvær. (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
    Academic article
  • Dumke, Ines; Purser, Autun; Marcon, Yann; Nornes, Stein Melvær; Johnsen, Geir; Ludvigsen, Martin. (2018) Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna. Scientific Reports
    Academic article
  • Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir. (2018) Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics (JFR)
    Academic article

2016

  • Ludvigsen, Martin; Sørensen, Asgeir Johan. (2016) Towards integrated autonomous underwater operations for ocean mapping and monitoring. Annual Reviews in Control
    Academic literature review
  • Johnsen, Geir; Ludvigsen, Martin; Sørensen, Asgeir Johan; Aas, Lars Martin Sandvik. (2016) The use of underwater hyperspectral imaging deployed on remotely operated vehicle – methods and applications. IFAC-PapersOnLine
    Academic article

2014

  • Ludvigsen, Martin; Johnsen, Geir; Sørensen, Asgeir Johan; Lågstad, Petter Arthur; Ødegård, Øyvind. (2014) Scientific Operations Combining ROV and AUV in the Trondheim Fjord. Marine Technology Society journal
    Academic article

2007

  • Ludvigsen, Martin; Sortland, Bjørn; Johnsen, Geir; Singh, Hanumant. (2007) Applications of Geo-Referenced Underwater Photo Mosaics in Marine Biology and Archaeology. Oceanography
    Academic article

Journal publications

  • Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir. (2019) Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Science robotics
    Academic article
  • Ludvigsen, Martin; Berge, Jørgen; Geoffroy, Maxime; Cohen, Jonathan H.; De La Torre, Pedro R.; Nornes, Stein Melvær. (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
    Academic article
  • Dumke, Ines; Purser, Autun; Marcon, Yann; Nornes, Stein Melvær; Johnsen, Geir; Ludvigsen, Martin. (2018) Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna. Scientific Reports
    Academic article
  • Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir. (2018) Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics (JFR)
    Academic article
  • Ludvigsen, Martin; Sørensen, Asgeir Johan. (2016) Towards integrated autonomous underwater operations for ocean mapping and monitoring. Annual Reviews in Control
    Academic literature review
  • Johnsen, Geir; Ludvigsen, Martin; Sørensen, Asgeir Johan; Aas, Lars Martin Sandvik. (2016) The use of underwater hyperspectral imaging deployed on remotely operated vehicle – methods and applications. IFAC-PapersOnLine
    Academic article
  • Ludvigsen, Martin; Johnsen, Geir; Sørensen, Asgeir Johan; Lågstad, Petter Arthur; Ødegård, Øyvind. (2014) Scientific Operations Combining ROV and AUV in the Trondheim Fjord. Marine Technology Society journal
    Academic article
  • Ludvigsen, Martin; Sortland, Bjørn; Johnsen, Geir; Singh, Hanumant. (2007) Applications of Geo-Referenced Underwater Photo Mosaics in Marine Biology and Archaeology. Oceanography
    Academic article

Teaching

Courses

  • MR8500 - PhD tema i marin kybernetikk og hybride kraftsystem
  • BI3070 - Muliggjørende teknologi for marine økologiske studier og marin vitenskap
  • TMR4515 - Marin kybernetikk, fordypningsemne
  • TMR4960 - Marine and Maritime Intelligent Robotics, masteroppgave
  • TMR4510 - Marin kybernetikk, fordypningsprosjekt
  • TMR4225 - Marine operasjoner
  • TMR4120 - Undervannsteknikk, grunnlag

Supervision

PhD students:

Karoline Barstein

Ambjørn Waldum

Gabriele Kapsaparavicitue

Fredrik Bevreng

David Williamson

Tore Mo-Bjørkelund

 

Graduated PhDs:

Trygve Fossum

Øystein Sture

Alexandre Cardaillac

NTNU – Norwegian University of Science and Technology

  • For employees
  • |
  • For students
  • |
  • Intranet
  • |
  • Blackboard

Studies

  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process

News

  • NTNU News
  • Vacancies

About NTNU

  • About the university
  • Libraries
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart

Contact

  • Contact NTNU
  • Employees
  • Find experts
  • Press contacts
  • Researcher support
  • Maps

NTNU in three cities

  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund

About this website

  • Use of cookies
  • Accessibility statement
  • Privacy policy
  • Editorial responsibility
Facebook Instagram Linkedin Snapchat Tiktok Youtube
Sign In
NTNU logo