• Autonomous Grasping Using Novel Distance Estimator 

      Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Schjølberg, Ingrid (Peer reviewed; Journal article, 2023)
      This paper introduces a novel distance estimator using monocular vision for autonomous underwater grasping. The presented method is also applicable to topside grasping operations. The estimator is developed for robot ...
    • 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 ...
    • Dynamic Bayesian Networks for Reduced Uncertainty in Underwater Operations 

      Skaldebø, Martin Breivik; Schjølberg, Ingrid (Peer reviewed; Journal article, 2022)
      This paper presents a novel framework for modelling dynamic Bayesian belief networks (BBNs) for online risk assessment in underwater operations. Existing frameworks spans from commercial software with restricted code access ...
    • Intelligent low-cost solutions for underwater intervention using computer vision and machine learning 

      Skaldebø, Martin Breivik (Doctoral theses at NTNU;2023:27, Doctoral thesis, 2023)
      This thesis considers intelligent solutions that facilitates for autonomous technology in underwater intervention and navigation. A special focus have been on implementing methods and solutions in inspection, maintenance, ...
    • Modeling of Remotely Operated Vehicle (ROV) Operations for Aquaculture 

      Skaldebø, Martin Breivik; Amundsen, Herman Biørn; Su, Biao; Kelasidi, Eleni (Journal article, 2023)
      This paper proposes an extensive model for unmanned underwater vehicle operations in aquaculture and includes a dynamic 6 degrees of freedom (DOF) quaternion-based model of a remotely operated vehicle (ROV) and a model of ...
    • Monocular vision-based gripping of objects 

      Haugaløkken, Bent Oddvar Arnesen; Skaldebø, Martin Breivik; Schjølberg, Ingrid (Peer reviewed; Journal article, 2020)
      Optics-based systems may provide high spatial and temporal resolution for close range object detection in underwater environments. By using a monocular camera on a low cost underwater vehicle manipulator system, objects ...
    • SeaArm-2 - Fully electric underwater manipulator with integrated end-effector camera 

      Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Schjølberg, Ingrid (Chapter, 2021)
      This paper presents an electrically driven underwater manipulator named SeaArm-2 and considers the kinematic control approach to perform autonomous fixed-base grasping of an object of known size and shape at unknown positions ...
    • Transfer Learning in Underwater Operations 

      Skaldebø, Martin Breivik; Sans-Muntadas, Albert; Schjølberg, Ingrid (Journal article, 2019)
      This paper investigates a method for reducing the reality gap that occurs when applying simulated data in training for vision-based operations in a subsea environment. The distinction in knowledge in the simulated and real ...