@inproceedings{branch_intex2018_front,
	title        = {Planning and Execution for Front Delineation and Tracking with Multiple Underwater Vehicles},
	author       = {A. Branch and M. M. Flexas and B. Claus and A. F. Thompson and E. B. Clark and Y. Zhang and J. C. Kinsey and S. Chien and D. M. Fratantoni and B. Hobson and B. Kieft and F. P. Chavez},
	year         = 2018,
	month        = {June},
	booktitle    = {Workshop on Integrated Planning, Acting and Execution, International Conference on Automated Planning and Scheduling (ICAPS INTEX 2018)},
	address      = {Delft, Netherlands},
	url          = {https://ai.jpl.nasa.gov/public/papers/branch-intex2018-front.pdf},
	abstract     = {This work describes a planning architecture for a heterogeneous fleet of marine assets as well as a method for detecting and tracking ocean fronts using multiple autonomous underwater vehicles. Multiple vehicles --- equally-spaced along the expected frontal boundary --- complete near parallel transects orthogonal to the front. Lateral gradients are used to determine the location of the front crossing from each individual vehicle transect by detecting a change in the observed water property. Adaptive control of the vehicles ensure they remain perpendicular to the estimated frontal boundary as it evolves over time. This method was demonstrated in several experiment periods totaling weeks, in and around Monterey Bay, California in May and June of 2017. We discuss the challenges associated with the implementation of the planning system. We show the capability of this method for repeated sampling across a dynamic two-dimensional ocean front using a fleet of three types of platforms: short-range Iver AUVs, Tethys-Class Long-Range AUVs, and Seagliders. This method extends to tracking gradients of different properties using a variety of vehicles.},
	clearance    = {CL\#18-2730},
	project      = {keck\_marine}
}

{"_id":"s6N3RdbQigDxgn5Q8","bibbaseid":"branch-flexas-claus-thompson-clark-zhang-kinsey-chien-etal-planningandexecutionforfrontdelineationandtrackingwithmultipleunderwatervehicles-2018","author_short":["Branch, A.","Flexas, M. M.","Claus, B.","Thompson, A. F.","Clark, E. B.","Zhang, Y.","Kinsey, J. C.","Chien, S.","Fratantoni, D. M.","Hobson, B.","Kieft, B.","Chavez, F. P."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Planning and Execution for Front Delineation and Tracking with Multiple Underwater Vehicles","author":[{"firstnames":["A."],"propositions":[],"lastnames":["Branch"],"suffixes":[]},{"firstnames":["M.","M."],"propositions":[],"lastnames":["Flexas"],"suffixes":[]},{"firstnames":["B."],"propositions":[],"lastnames":["Claus"],"suffixes":[]},{"firstnames":["A.","F."],"propositions":[],"lastnames":["Thompson"],"suffixes":[]},{"firstnames":["E.","B."],"propositions":[],"lastnames":["Clark"],"suffixes":[]},{"firstnames":["Y."],"propositions":[],"lastnames":["Zhang"],"suffixes":[]},{"firstnames":["J.","C."],"propositions":[],"lastnames":["Kinsey"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Chien"],"suffixes":[]},{"firstnames":["D.","M."],"propositions":[],"lastnames":["Fratantoni"],"suffixes":[]},{"firstnames":["B."],"propositions":[],"lastnames":["Hobson"],"suffixes":[]},{"firstnames":["B."],"propositions":[],"lastnames":["Kieft"],"suffixes":[]},{"firstnames":["F.","P."],"propositions":[],"lastnames":["Chavez"],"suffixes":[]}],"year":"2018","month":"June","booktitle":"Workshop on Integrated Planning, Acting and Execution, International Conference on Automated Planning and Scheduling (ICAPS INTEX 2018)","address":"Delft, Netherlands","url":"https://ai.jpl.nasa.gov/public/papers/branch-intex2018-front.pdf","abstract":"This work describes a planning architecture for a heterogeneous fleet of marine assets as well as a method for detecting and tracking ocean fronts using multiple autonomous underwater vehicles. Multiple vehicles — equally-spaced along the expected frontal boundary — complete near parallel transects orthogonal to the front. Lateral gradients are used to determine the location of the front crossing from each individual vehicle transect by detecting a change in the observed water property. Adaptive control of the vehicles ensure they remain perpendicular to the estimated frontal boundary as it evolves over time. This method was demonstrated in several experiment periods totaling weeks, in and around Monterey Bay, California in May and June of 2017. We discuss the challenges associated with the implementation of the planning system. We show the capability of this method for repeated sampling across a dynamic two-dimensional ocean front using a fleet of three types of platforms: short-range Iver AUVs, Tethys-Class Long-Range AUVs, and Seagliders. This method extends to tracking gradients of different properties using a variety of vehicles.","clearance":"CL#18-2730","project":"keck_marine","bibtex":"@inproceedings{branch_intex2018_front,\n\ttitle = {Planning and Execution for Front Delineation and Tracking with Multiple Underwater Vehicles},\n\tauthor = {A. Branch and M. M. Flexas and B. Claus and A. F. Thompson and E. B. Clark and Y. Zhang and J. C. Kinsey and S. Chien and D. M. Fratantoni and B. Hobson and B. Kieft and F. P. Chavez},\n\tyear = 2018,\n\tmonth = {June},\n\tbooktitle = {Workshop on Integrated Planning, Acting and Execution, International Conference on Automated Planning and Scheduling (ICAPS INTEX 2018)},\n\taddress = {Delft, Netherlands},\n\turl = {https://ai.jpl.nasa.gov/public/papers/branch-intex2018-front.pdf},\n\tabstract = {This work describes a planning architecture for a heterogeneous fleet of marine assets as well as a method for detecting and tracking ocean fronts using multiple autonomous underwater vehicles. Multiple vehicles --- equally-spaced along the expected frontal boundary --- complete near parallel transects orthogonal to the front. Lateral gradients are used to determine the location of the front crossing from each individual vehicle transect by detecting a change in the observed water property. Adaptive control of the vehicles ensure they remain perpendicular to the estimated frontal boundary as it evolves over time. This method was demonstrated in several experiment periods totaling weeks, in and around Monterey Bay, California in May and June of 2017. We discuss the challenges associated with the implementation of the planning system. We show the capability of this method for repeated sampling across a dynamic two-dimensional ocean front using a fleet of three types of platforms: short-range Iver AUVs, Tethys-Class Long-Range AUVs, and Seagliders. This method extends to tracking gradients of different properties using a variety of vehicles.},\n\tclearance = {CL\\#18-2730},\n\tproject = {keck\\_marine}\n}\n","author_short":["Branch, A.","Flexas, M. M.","Claus, B.","Thompson, A. F.","Clark, E. B.","Zhang, Y.","Kinsey, J. C.","Chien, S.","Fratantoni, D. M.","Hobson, B.","Kieft, B.","Chavez, F. P."],"key":"branch_intex2018_front","id":"branch_intex2018_front","bibbaseid":"branch-flexas-claus-thompson-clark-zhang-kinsey-chien-etal-planningandexecutionforfrontdelineationandtrackingwithmultipleunderwatervehicles-2018","role":"author","urls":{"Paper":"https://ai.jpl.nasa.gov/public/papers/branch-intex2018-front.pdf"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"ai.jpl.nasa.gov/public/publications/jpl_aig.bib","dataSources":["gKzW9rEearQxTm7ht","QvdbtaigAhR3B2gH3","fFKv7kkLuCZPtfsiH"],"keywords":[],"search_terms":["planning","execution","front","delineation","tracking","multiple","underwater","vehicles","branch","flexas","claus","thompson","clark","zhang","kinsey","chien","fratantoni","hobson","kieft","chavez"],"title":"Planning and Execution for Front Delineation and Tracking with Multiple Underwater Vehicles","year":2018}