Blar i NTNU Open på forfatter "Py, Frédéric"

Viser treff 1-4 av 4

    • Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten; Py, Frédéric; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)
      To get a better understanding of the highly nonlinear processes driving the ocean, efficient and informative sampling is critical. By combining robotic sampling with ocean models we are able to choose informative sampling ...

    • Advancing multi-vehicle deployments in oceanographic field experiments 

      Ferreira, Antonio Sergio; Costa, Maria; Py, Frédéric; Pinto, José; Silva, Monica A.; Nimmo-Smith, W. Alex M.; Johansen, Tor Arne; Borges de Sousa, Joao; Rajan, Kanna (Journal article; Peer reviewed, 2018)
      Our research concerns the coordination and control of robotic vehicles for upper water-column oceanographic observations. In such an environment, operating multiple vehicles to observe dynamic oceanographic phenomena, such ...

    • 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 ...

    • Coordinating UAVs and AUVs for Oceanographic Field Experiments:Challenges and Lessons Learned 

      Faria, Margarida; Pinto, José; Py, Frédéric; Fortuna, João; Dias, Hugo; Martins, Ricardo; Leira, Frederik Stendahl; Johansen, Tor Arne; Sousa, João; Rajan, Kanna (Journal article, 2014)
      Obtaining synoptic observations of dynamic ocean phenomena such as fronts, eddies, oxygen minimum zones and blooms has been challenging primarily due to the large spatial scales involved. Traditional methods of observation ...