Evaluating Scientific Coverage Strategies for A Heterogeneous Fleet of Marine Assets Using a Predictive Model of Ocean Currents. Branch, A.; Troesch, M.; Chu, S.; Chien, S.; Chao, Y.; Farrara, J.; and Thompson, A. In Workshop on Scheduling and Planning Applications, International Conference on Automated Planning and Scheduling (SPARK, ICAPS 2016), London, UK, June, 2016.
Evaluating Scientific Coverage Strategies for A Heterogeneous Fleet of Marine Assets Using a Predictive Model of Ocean Currents [pdf]Paper  abstract   bibtex   
Planning for marine asset deployments is a challenging task. Determining the location to where the assets will be deployed involves considerations of (1) location, extent, and evolution of the science phenomena being studied; (2) deployment logistics (distances and costs), and (3) ability of the available vehicles to acquire the measurements desired by science. This paper describes the use of mission planning tools to evaluate science coverage capability for planned deploy- ments. In this approach, designed coverage strategies are evaluated against ocean model data to see how they would perform in a range of locations. Feedback from these runs is then used to refine the coverage strategies to perform more robustly in the presence of a wider range of ocean current settings.
@inproceedings{branch-troesch-chu-et-al-ICAPS-2016,
  author = {A. Branch and M. Troesch and S. Chu and S. Chien and Y. Chao and J. Farrara and A. Thompson},
  title = {Evaluating Scientific Coverage Strategies for A Heterogeneous Fleet of Marine Assets Using a Predictive Model of Ocean Currents},
  booktitle = {Workshop on Scheduling and Planning Applications, International Conference on Automated Planning and Scheduling (SPARK, ICAPS 2016)},
  year = {2016},
  month = {June},
  address = {London, UK},
  abstract = {Planning for marine asset deployments is a challenging task. Determining the location to where the assets will be deployed involves considerations of (1) location, extent, and evolution of the science phenomena being studied; (2) deployment logistics (distances and costs), and (3) ability of the available vehicles to acquire the measurements desired by science. This  paper  describes  the  use  of  mission  planning  tools  to evaluate  science  coverage  capability  for  planned  deploy- ments.    In  this  approach, designed  coverage  strategies  are evaluated  against  ocean  model data  to  see  how  they  would perform in a range of locations.  Feedback from these runs is then  used  to  refine  the  coverage  strategies  to  perform  more robustly  in  the  presence  of  a  wider  range  of  ocean  current settings. },
  url = {https://ai.jpl.nasa.gov/public/papers/branch_icaps2016_fleet.pdf},
  clearance = {CL#16-1869},
  project = {keck_marine},
}
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