• Intraoperative Data-Based Haptic Feedback for Arthroscopic Partial Meniscectomy Punch Simulation 

      Bjelland, Øystein; Pedersen, Morten Dinhoff; Steinert, Ralf Martin; Bye, Robin Trulssen (Peer reviewed; Journal article, 2022)
      The use of intraoperative tool-tissue interaction data for arthroscopic digital twins has the potential to enhance haptic feedback in surgical simulations. This study demonstrates the implementation of an interpolation-based ...
    • Mechanical design optimization of a 6DOF serial manipulator using genetic algorithm 

      Bjørlykhaug, Emil; Egeland, Olav (Journal article; Peer reviewed, 2018)
      Robots are becoming increasingly more common in the industry. In order to expand the use of robotic manipulators to complex tasks, a higher degree of tailoring of robots may be required. Tailoring of the mechanical design ...
    • Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction 

      Wolff, Miriam Kopperstad; Schaathun, Hans Georg; Fougner, Anders Lyngvi; Steinert, Martin; Volden, Rune (Journal article; Peer reviewed, 2024)
      In the field of blood glucose prediction, the literature is abounded with algorithms that demonstrate potential in glucose management. However, these propositions face an issue common to many machine learning algorithms: ...
    • Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review 

      Bjelland, Øystein; Rasheed, Bismi; Schaathun, Hans Georg; Pedersen, Morten Dinhoff; Steinert, Martin; Hellevik, Alf Inge; Bye, Robin Trulssen (Peer reviewed; Journal article, 2022)
      The use of digital twins to represent a product or process digitally is trending in many engineering disciplines. This term has also been recently introduced in the medical field. In arthroscopic surgery education, the ...
    • Vision system for quality assessment of robotic cleaning of fish processing plants using CNN 

      Bjørlykhaug, Emil Dale; Egeland, Olav (Journal article; Peer reviewed, 2019)
      A vision system has been developed for automatic quality assessment of robotic cleaning of fish processing lines. The quality assessment is done by detecting residual fish blood on cleaned surfaces. The system is based on ...