Blar i Publikasjoner fra CRIStin - SINTEF AS på tidsskrift "Frontiers in Robotics and AI"

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    • Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters 

      Larsen, Thomas Nakken; Teigen, Halvor Ødegård; Laache, Torkel; Varagnolo, Damiano; Rasheed, Adil (Peer reviewed; Journal article, 2021)
      Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off these two tasks is not ...

    • Internet of Robotic Things Intelligent Connectivity and Platforms 

      Vermesan, Ovidiu; Bahr, Roy; Ottella, Marco; Serrano, Martin; Karlsen, Tore; Wahlstrøm, Terje; Sand, Hans-Erik; Ashwathnarayan, Meghashyam; Troglia Gamba, Micaela (Peer reviewed; Journal article, 2020)
      The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and “things” have evolved significantly. “Things” now range from simple Radio Frequency Identification ...

    • Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots 

      Kelasidi, Eleni; Moe, Signe; Pettersen, Kristin Ytterstad; Kohl, Anna M; Liljebäck, Pål; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2019)
      The use of unmanned underwater vehicles is steadily increasing for a variety of applications such as mapping, monitoring, inspection and intervention within several research fields and industries, e.g., oceanography, marine ...