@inproceedings{dailis_aerie_2023,
	title        = {Aerie: A Modern Multi-Mission Planning, Scheduling, and Sequencing System},
	author       = {Dailis, Matthew and Ferguson, Eric and Camargo, Chris and Maillard, Adrien},
	year         = 2023,
	month        = {June},
	booktitle    = {Proc. of International Workshop on Planning and Scheduling for Space},
	url          = {https://ai.jpl.nasa.gov/public/documents/papers/Dailis-IWPSS2023-Aerie.pdf},
	clearance    = {CL\#23-2718},
	project      = {aerie}
}

@inproceedings{maillard_sdc_2023,
	title        = {Where is my coverage? Using explainable automated scheduling to inform mission design of an Earth-observing constellation},
	author       = {Maillard, Adrien and Wells, Christopher and Eveisgharan, Shadi and Rosen, Paul and Chien, Steve},
	year         = 2023,
	month        = {June},
	booktitle    = {Proc. of International Workshop on Planning and Scheduling for Space},
	url          = {https://ai.jpl.nasa.gov/public/documents/papers/SDC-IWPSS-23.pdf},
	clearance    = {CL\#23-2654},
	project      = {sdc}
}

@inproceedings{maillard_emit_2023,
	title        = {Automated Scheduling for Operating the Earth Surface Mineral Dust Source Investigation Instrument on the International Space Station},
	author       = {Maillard, Adrien and Yelamanchili, Amruta and Joyce, Michael and  Bennett, Matthew and Lockhard, Thomas and Pillai,Jacob and Jhalani, Vatsal and Thompson, David and Oiada, Bogdan},
	year         = 2023,
	month        = {June},
	booktitle    = {Proc. of International Workshop on Planning and Scheduling for Space},
	url          = {https://ai.jpl.nasa.gov/public/documents/papers/EMIT-IWPSS-23.pdf},
	clearance    = {URS315573 CL\#23-2652},
	project      = {emit}
}

@inproceedings{ros-laas-ijcai2022,
	title        = {An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration},
	author       = {Emmanuel Hebrard and Christian Artigues and Pierre Lopez and Arnaud Lusson and Steve Chien and Adrien Maillard and Gregg Rabideau},
	year         = 2022,
	month        = {July},
	booktitle    = {International Joint Conference on Artificial Intelligence (IJCAI 2022)},
	address      = {Vienna, Austria},
	url          = {https://ai.jpl.nasa.gov/public/documents/papers/Rosetta-LAAS-IJCAI-2022.pdf},
	project      = {rosetta}
}

@article{maillard_coverage_jais_2021,
	title        = {Planning the Coverage of Planets under Geometrical Constraints},
	author       = {A. Maillard and S. A. Chien and C. Wells},
	year         = 2021,
	journal      = {Journal of Aerospace Information Systems},
	publisher    = {AIAA},
	volume       = {18:5},
	pages        = {289--306},
	url          = {https://doi.org/10.2514/1.I010896},
	clearance    = {CL\#21-0687 URS293692},
	project      = {clasp}
}

@inproceedings{horst-etal-AERO2021,
	title        = {NASA's Surface Deformation and Change Mission Study},
	author       = {Horst, Stephen and Chrone, Jonathan and Deacon, Shaun and Le, Charles and Maillard, Adrien and Molthan, Andrew and Nguyen, Anh and Osmanoglu, Batuhan and Oveisgharan, Shadi and Perrine, Martin and Shah, Rashmi and Tymofyeyeva, Ekaterina and Wells, Christopher and Zufall, Adam and Rosen, Paul A.},
	year         = 2021,
	booktitle    = {2021 IEEE Aerospace Conference},
	pages        = {1--19},
	doi          = {10.1109/AERO50100.2021.9438290},
	url          = {https://ai.jpl.nasa.gov/public/documents/papers/horst-etal-AERO2021.pdf},
	clearance    = {CL\#21-0195    URS296108},
	project      = {clasp, sdc}
}

@inproceedings{boerkel2021_iwpss21,
	title        = {An Efficient Approach for Scheduling Imaging Tasks Across a Fleet of Satellites},
	author       = {Boerkoel, James and Mason, James and Wang, Daniel and Chien, Steve and Maillard, Adrien},
	year         = 2021,
	month        = {July},
	booktitle    = {International Workshop on Planning \& Scheduling for Space (IWPSS)},
	url          = {https://ai.jpl.nasa.gov/public/papers/Boerkoel-IWPSS2021-paper-23.pdf},
	clearance    = {CL\#21-3023 URS300536},
	project      = {nos}
}

@inproceedings{maillard_ammos_keps21,
	title        = {Sailing Towards an Expressive Scheduling Language for Europa Clipper},
	author       = {Maillard, A. and Jorritsma,  M. and Schaffer S.},
	year         = 2021,
	month        = {July},
	booktitle    = {Knowledge Engineering for Planning and Scheduling (KEPS), International Conference on Automated Planning and Scheduling (ICAPS KEPS)},
	url          = {https://ai.jpl.nasa.gov/public/papers/Maillard-KEPS2021-paper-22.pdf},
	clearance    = {URS CL\#21-3016},
	project      = {aerie}
}

@article{chien_jais2020_volcmonitoring,
	title        = {Automated Volcano Monitoring Using Multiple Space and Ground Sensors},
	author       = {Steve A. Chien and Ashley G. Davies and Joshua Doubleday and Daniel Q. Tran and David Mclaren and Wayne Chi and Adrien Maillard},
	year         = 2020,
	journal      = {Journal of Aerospace Information Systems (JAIS)},
	volume       = {17:4},
	pages        = {214--228},
	url          = {https://doi.org/10.2514/1.I010798},
	abstract     = {From 2004 to 2017, an effort was undertaken to integrate space-borne sensing and in situ sensing in an automated system to improve global volcano activity monitoring. This paper reviews a sensor web concept in which a number of volcano monitoring systems were linked together to more accurately monitor volcanic activity, and used this activity measurement to automatically task space assets to acquire further satellite imagery of the detected volcanic activity. This paper discusses the space and ground sensors and how they were linked together as triggers and responses. Over a 13-year period, more than 160,000 alerts coming from various sources lead to 9050 observations by NASA's Earth Observing-1 spacecraft--imaging about 218 volcanoes. This paper describes the science products automatically produced onboard the satellite and on the ground such as temperature maps and lava discharge volume estimates that are automatically delivered to subscribing users. To evaluate the effectiveness of an out-tasked volcano monitoring system, this study compares the hit rate of our tasked monitoring system to the systematic monitoring system MODVOLC.},
	project      = {sensorweb}
}

From 2004 to 2017, an effort was undertaken to integrate space-borne sensing and in situ sensing in an automated system to improve global volcano activity monitoring. This paper reviews a sensor web concept in which a number of volcano monitoring systems were linked together to more accurately monitor volcanic activity, and used this activity measurement to automatically task space assets to acquire further satellite imagery of the detected volcanic activity. This paper discusses the space and ground sensors and how they were linked together as triggers and responses. Over a 13-year period, more than 160,000 alerts coming from various sources lead to 9050 observations by NASA's Earth Observing-1 spacecraft–imaging about 218 volcanoes. This paper describes the science products automatically produced onboard the satellite and on the ground such as temperature maps and lava discharge volume estimates that are automatically delivered to subscribing users. To evaluate the effectiveness of an out-tasked volcano monitoring system, this study compares the hit rate of our tasked monitoring system to the systematic monitoring system MODVOLC.