Blar i Institutt for teknisk kybernetikk på forfatter "Eidsvik, Jo"

Viser treff 1-7 av 7

    • Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model 

      Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna (Journal article; Peer reviewed, 2018)
      This paper presents methods for building and exploiting compact spatial models on board an autonomous underwater vehicle (AUV) towards tracking suspended material plumes. The research is aiming to improve real-time monitoring ...

    • 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 ...

    • Dynamic stochasticmodeling for adaptive sampling of environmental variables using an AUV 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten Omholt; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      Discharge of mine tailings significantly impacts the ecological status of the sea. Methods to efficiently monitor the extent of dispersion is essential to protect sensitive areas. By combining underwater robotic sampling ...

    • Information-driven robotic sampling in the coastal ocean 

      Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir; mendes, renato; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2018)
      Efficient sampling of coastal ocean processes, especially mechanisms such as upwelling and internal waves and their influence on primary production, is critical for understanding our changing oceans. Coupling robotic ...

    • Long-Horizon Informative Path Planning with Obstacles and Time Constraints 

      Ge, Yaolin; Olaisen, André Julius Hovd; Eidsvik, Jo; Jain, Ravinder Praveen Kumar; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      We apply non-myopic informative path planning in a simulated river plume case study with several constraints on our agent. A cost valley philosophy is proposed to guide the agent through the field. The purpose of this path ...

    • Toward adaptive robotic sampling of phytoplankton in the coastal ocean 

      Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019)
      Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastal waters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ...

    • Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables 

      Foss, Karine Hagesæther; Berget, Gunhild Elisabeth; Eidsvik, Jo (Peer reviewed; Journal article, 2021)
      New robotic sensor platforms have computing resources that enable a rich set of tasks for adaptive monitoring of the environment. But to substantially augment the toolbox of environmental sensing, such platforms must be ...