• Autonomous subsea intervention (SEAVENTION) 

      Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric (Peer reviewed; Journal article, 2022)
      This paper presents the main results and latest developments in a 4-year project called autonomous subsea intervention (SEAVENTION). In the project we have developed new methods for autonomous inspection, maintenance and ...
    • Continuous-Curvature Path Generation using Fermat's Spiral 

      Lekkas, Anastasios; Dahl, Andreas R; Breivik, Morten; Fossen, Thor I. (Journal article; Peer reviewed, 2013)
      This paper proposes a novel methodology, based on Fermat's spiral (FS), for constructing curvature-continuous parametric paths in a plane. FS has a zero curvature at its origin, a property that allows it to be connected ...
    • Deep Reinforcement Learning based tracking behavior for underwater vehicles 

      Khan, Abir (Master thesis, 2018)
      This thesis introduces the use of Machine Learning, specifically Reinforcement Learning, to create a model-free tracking property for Remotely Operated Vehicles (ROV). In detail, the ROV is trained by a RL algorithm to ...