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Browsing NTNU Open by Author "Våge, Andreas"

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    • Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer 

      Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna (Journal article; Peer reviewed, 2020)
      Rapid assessment and enhanced knowledge of plankton communities and their structure in the productive upper water column is of crucial importance to understand the impact of the changing climate on upper ocean processes. ...
    • Autonomous Navigation, Mapping, and Exploration for Underwater Robots 

      Engebretsen, Marcus Aleksander; Gjerden, Kjetil Skogstrand; Utbjoe, Øystein Barth; Våge, Andreas (Master thesis, 2019)
      Denne masteroppgaven legger frem, og implementerer, en arkitektur for et autonomt system som er i stand til kontektsbasert resonnering under inspeksjonsoppdrag utført med ubemannede undervannsfartøy. For å forenkle design- ...
    • Autonomous Navigation, Mapping, and Exploration for Underwater Robots 

      Engebretsen, Marcus Aleksander; Gjerden, Kjetil Skogstrand; Utbjoe, Øystein Barth; Våge, Andreas (Master thesis, 2019)
      Denne masteroppgaven legger frem, og implementerer, en arkitektur for et autonomt system som er i stand til kontektsbasert resonnering under inspeksjonsoppdrag utført med ubemannede undervannsfartøy. For å forenkle design- ...
    • Autonomous Navigation, Mapping, and Exploration for Underwater Robots 

      Engebretsen, Marcus Aleksander; Gjerden, Kjetil Skogstrand; Utbjoe, Øystein Barth; Våge, Andreas (Master thesis, 2019)
      Denne masteroppgaven legger frem, og implementerer, en arkitektur for et autonomt system som er i stand til kontektsbasert resonnering under inspeksjonsoppdrag utført med ubemannede undervannsfartøy. For å forenkle design- ...
    • Deep Reinforcement Learning Applied to Targeted Oceanographic Sampling for an Autonomous Underwater Vehicle: Comparing Machine Learning and Model Based Approaches in a Simulated Environment 

      Kingman, Ivan Håbjørg (Master thesis, 2021)
      Dyp forsterkende læring ble benyttet i et forsøk på å få en autonom under-vannsdrone til å oppsøke biologiske varmepunkter ("hotspots") av plankton iet simulert miljø. Prosedyrisk generert planktondata ble benyttet for å ...
    • The Effects of Initial Network for University Spin-Off Companies: An Empirical Study of Board Composition and Performance 

      Fischer, Eirik Sola; Våge, Andreas (Master thesis, 2014)
      University spin-off companies have verified their potential as a wealth creating strategy in commercializing intellectual property from universities. However, they are complex entities, suffering under shortage of essential ...

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