@incollection{grande_book_2022,
  author = {Grande, Manuel and Guo, Linli and Blanc, Michel and Makaya, Advenit and
Asmar, Sami and Atkinson, David and Bourdon, Anne and Chabert, Pascal and
Chien, Steve and Day, John and Fairén, Alberto G. and Freeman, Anthony and Genova, Antonio and
Herique, Alain and Kofman, Wlodek and Lazio, Joseph and Mousis, Olivier and
Ori, Gian Gabriele and Parro, Victor and Preston, Robert and Rodriguez-Manfredi, Jose A and
Sterken, Veerle and Stephenson, Keith and Vander Hook, Joshua and Waite, J. Hunter and Zine, Sonia},
  title       = {Chapter 5: Enabling technologies for planetary exploration},
  editor      = {Michel Blanc},
  booktitle   = {Planetary Exploration Horizon 2061 – A Long Term Perspective for Planetary Exploration},
  publisher   = {Elsevier},
  year        = 2022,
  chapter     = 5
}

@inproceedings{ dunkel_movidius_fsw_2022,
    author = {L. Buckley and E. Dunkel and J. Romero-Ca{\~n}as and  J. Espinosa-Aranda and E. Hervas-Martin and J. Swope and Z. Towfic and S. Chien and D. Russell and J. Sauvageau and D. Sheldon and M. Fernandez and C. Knox},
    title = {Benchmarking Deep Learning on The Myriad X Processor Onboard the International Space Station},
    booktitle = {Flight Software Workshop},
    year = {2022},
    month = {February},
    project = {cpu-iss},
    clearance = {CL#22-0275 URS305782},
    url = {https://ai.jpl.nasa.gov/public/documents/presentations/FSW2022_Benchmarking_DL_Buckley.pdf}
}

@inproceedings{ swope_snapdragon_fsw_2022,
    author = {J. Swope and E. Dunkel and S. Chien},
    title = {Validation of Flight Software on the Qualcomm Snapdragon 855 on the International Space Station},
    booktitle = {Flight Software Workshop},
    year = {2022},
    month = {February},
    project = {cpu-iss},
    clearance = {CL#22-0434 URS305858},
    url = {https://ai.jpl.nasa.gov/public/documents/presentations/FSW_2022_Snapdragon_Presentation.pdf}
}

@inproceedings{ gaines_marsplanner_fsw_2022,
    author = {D. Gaines and G. Rabideau and V. Wong and S. Kuhn and E. Fosse and S. Chien},
    title = {The Mars 2020 On-Board Planner: Balancing Performance and Computational Constraints},
    booktitle = {Flight Software Workshop},
    year = {2022},
    month = {February},
    project = {m2020},
    clearance = {CL#22-0081 URS305481},
    url = {https://ai.jpl.nasa.gov/public/documents/presentations/OBP_FSW22_2022-01-07.pdf}
}

@article{saint-guillain_romie_eaai_2022,
author = {Michael Saint-Guillain and Jonas Gibaszeka and Tiago Vaquero and Steve Chien},
title = {Romie: A domain-independent tool for computer-aided robust operations management},
journal = {Engineering Applications of Artificial Intelligence},
volume = {Volume 111, May 2022, 104801},
publisher = {Elsevier},
url = {https://doi.org/10.1016/j.engappai.2022.104801},
clearance = {CL#21-0785    URS298554},
year = {2022},
project = {}
}

@inproceedings{chien_nfm_2022,
author = {Steve Chien},
title = {Formal Methods for Trusted Space Autonomy, Boon or Bane?},
year = {2022},
month = {May},
clearance = {CL#22-1670    URS307382},
booktitle = {NASA Formal Methods Symposium},
url = {https://ai.jpl.nasa.gov/public/documents/papers/chien_nfm_2022.pdf}
}

@inproceedings{castano_ops-for-autonomy_LPSC_2022,
  author = { R. Castano and T. Vaquero and F. Rossi and V. Verma and  M. Choukroun and D. Allard and R. Amini and A. Barrett and J. Castillo-Rogez and N. Dhamani and R. Francis and M. Hofstadter and M. Ingham and A. Jasour and M. Jorritsma and E. Van Wyk and S. Chien},
  title = {Operations For Autonomous Spacecraft: Workflows And Tools For A Neptune Tour Case Study},
  booktitle = {Lunar and Planetary Science Conference (LPSC)},
  year = {2022},
  month = {March},
  project = {OperationsForAutonomy},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/castano_ops-for-autonomy_LPSC_2022.pdf}
}

@inproceedings{parjan_distributed_constellations_optlearnmas_2022,
author = {Parjan, S. and Chien, S. and Harrod, R.},
title = {Distributed Observation Allocation for a Large-Scale Constellation},
year = {2022},
month = {May},
booktitle = {The 13th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS-22)},
project = {constellations},
clearance = {URS307906  CL#22-2175},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Parjan_DistributedConstellations_OptLearnMAS_2022.pdf}
}

@inproceedings{dt-igarss2022,
  author = {Alberto Candela and Jason Swope and Steve Chien and Hui Su and Peyman Tavallali},
  title = {Dynamic Targeting for Improved Tracking of  Storm Features},
  booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS 2022)},
  year = {2022},
  month = {July},
  address = {Kuala Lumpur, Malaysia},
  project = {dt},
  clearance = {CL#22-2090    URS305602},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/IGARSS_2022_Candela_DT.pdf}

}

@inproceedings{iss-snap-igarss2022,
  author = {Jason Swope and Faiz Mirza and Emily Dunkel and Zaid Towfic and Damon Russell and Joe Sauvageau and Doug Sheldon and Steve Chien and Mark Fernandez and Carrie Knox},
  title = {Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station},
  booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS 2022)},
  year = {2022},
  month = {July},
  address = {Kuala Lumpur, Malaysia},
clearance = {CL#22-22-1955    URS305516},
  project = {iss},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/IGARSS2022-Onboard-Not-DL-IGARSS2022-Camera.pdf}
}

@inproceedings{iss-dl-igarss2022,
  author = {Emily Dunkel and Jason Swope and Zaid Towfic and Steve Chien and Damon Russell and Joseph Sauvageau and Douglas Sheldon and Juan Romero-Canas and Jose Luis Espinosa-Aranda and Leonie Buckley and Elena Hervas-Martin and Mark Fernandez and Carrie Knox},
  title = {Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station},
  booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS 2022)},
  year = {2022},
  month = {July},
  address = {Kuala Lumpur, Malaysia},
clearance = {CL#22-1927 URS305511},
  project = {iss},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/IGARSS-2022-DL-Movidius-camera.pdf}
}

@inproceedings{m2020-planner-astra2022,
author = {Dan Gaines and Steve Chien and Gregg Rabideau and Stephen Kuhn and Vincent Wong and Amruta Yelamanchili and Shannon Towey and Jagriti Agrawal and Wayne Chi and Andrea Connell and Evan Davis and Colette Lohr},
title = {Onboard Planning for the Mars 2020 Perseverance Rover},
year = {2022},
month = {June},
clearance = {CL#22-1884  URS307658},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {m2020},
url = {https://ai.jpl.nasa.gov/public/documents/papers/M2020-OBP-ASTRA-2022-Final.pdf}
}

@inproceedings{el-se-astra2022,
author = {Steve Chien and Jean-Pierre de la Croix and Joe Russino and Caleb Wagner and Gregg Rabideau and Daniel Wang and Grace Lim and Dustin Aguilar and Yuliya Marchetti and Scott Tepsuporn and Philip Twu and Cecilia Mauceri and Grace Tan-Wang and Glenn
Reeves},
title = {Onboard Scheduling and Execution for Addressing Uncertainty in a Planetary Lander},
year = {2022},
month = {June},
clearance = {CL#22-2035    URS307698},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {europa-lander},
url = {https://ai.jpl.nasa.gov/public/documents/papers/EL-ASTRA-Camera-2022.pdf}
}

@inproceedings{dt-astra2022,
author = {Alberto Candela and Jason Swope and Steve Chien},
title = {Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions},
year = {2022},
month = {June},
clearance = {CL#22-2091    URS307813},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {dt},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Candela_DT_ASTRA_2022.pdf}
}

@inproceedings{snap-astra2022,
author = {Swope, Jason and Faiz Mirza and Emily Dunkel and Alberto Candela and Zaid Towfic and Steve Chien and Damon Russell and Joe Sauvageau and Doug Sheldon and Mark Fernandez and Carrie Knox},
title = {Benchmarking Remote Sensing Image Processing And Mission Planning Applications On The Snapdragon Processor Onboard The International Space Station},
year = {2022},
month = {June},
clearance = {CL#22-2103    URS307807},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {iss},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Swope_Autonomy-ISS_ASTRA_2022.pdf}
}

@inproceedings{dl-astra2022,
author = {Emily Dunkel and Jason Swope and Alberto Candela and Lauren West and Steve Chien and Ĺeonie Buckley and Juan Romero-Cañas and Jose Luis Espinosa-Aranda and Elena Hervas-Martin and Zaid Towfic and Damon Russell and Joseph Sauvageau and Douglas Sheldon and Mark Fernandez and Carrie Knox},
title = {Testing Mars Rover, Spectral Unmixing, And Ship Detection Neural Networks, And Memory Checkers On Embedded Systems Onboard The Iss},
year = {2022},
month = {June},
clearance = {CL#22-2106    URS307831},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {iss},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Dunkel_DL_ISS_ASTRA_2022.pdf}
}

@inproceedings{europa-lander-uncertainty-icaps2022,
author = {Wang, D. and Russino, J. A. and Basich, C. and Chien, S.},
title = {Analyzing the Efficacy of Flexible Execution, Replanning, and Plan Optimization for a Planetary Lander },
year = {2022},
month = {June},
clearance = {CL#22-1579  URS307166},
booktitle = {International Conference on Automated Planning and Scheduling},
project = {europa-lander, mexec},
url = {https://ai.jpl.nasa.gov/public/documents/papers/icaps2022-europa-lander-analyzing.pdf}
}

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

@inproceedings{castano-etal-AERO2022,
  author = { Rebecca Castano and Tiago Vaquero and Federico Rossi and Vandi Verma and Ellen Van Wyk and Dan Allard and Bennett Huffman and Erin Murphy and Nihal Dhamani and Robert Hewitt and Scott Davidoff and Rashied Amini and Anthony Barrett  and Julie Castillo-Rogez and Mathieu Choukroun and Alain Dadaian and Raymond Francis and Ben Gorr and Mark Hofstadter and Mitch Ingham and Cristina Sorice and Iain Tierney},
  title = {Operations for Autonomous Spacecraft},
  booktitle = {IEEE Aerospace Conference},
 year = {2022},
  month = {March},
  project = {OperationsForAutonomy},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/castano-etal-AERO2022.pdf}
}

@inproceedings{ hook_aas_trajopt_2022,
  author = {Pascarella, Alex and Woollands, Robyn and Pellegrini, Etienne and Sanchez-Net, Marc and Vander Hook, Joshua},
  title = {Low Thrust Trajectory Optimization for the Solar System Pony Express },
  booktitle = {Proceedings of the AAS GNC Conference},
  publisher = {AIAA},
  clearance = {CL#21-4128 URS302572},
  year = {2022},
  project = {NIAC-solar-system-pony-express},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/AAS-22-015_Paper.pdf}
}

@inproceedings{nos-igarss2022,
  author = {Smith, Ben and Kumar, Sujay and Nguyen, Louis and Chee, Thad and
            Mason, James and Chien, Steve and Frost, Chad and Akbar, Ruzbeh and
            Moghaddam, Mahta and Getirana, Augusto and Capra, Leigha and Grogan, Paul},
  title = {Demonstrating a New Flood Observing Strategy on the NOS Testbed},
  booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS 2022)},
  year = {2022},
  month = {July},
  address = {Kuala Lumpur, Malaysia},
clearance = {CL#22-0057	URS305541},
  project = {nos},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/NOS_Flood_IGARSS_2022.pdf}
}

@inproceedings{davies-vsw-cities-volcanoes-2022,
  author = {Ashley Gerard Davies and Steve Chien and James Mason and, Jason Swope and Amruta Yelamanchili and, Kerry Cawse-Nicholson and Joel Mueting and Vishwa Shah and Tanya Harrison},
  title = {The NASA-JPL Volcano Sensor Web (VSW): The Next Iteration},
  booktitle = {Cities on Volcanoes 11},
  year = {2022},
  month = {June},
  address = {Heraklion, Crete},
  clearance = {CL#22-2284    URS308056},
  project = {sensorweb},
  url = {https://ai.jpl.nasa.gov/public/documents/posters/davies-vsw-cities-volcanoes-2022.pdf}
}

@Article{Woollands-et-al-2022,
author={Woollands, Robyn
and Rossi, Federico
and Stegun Vaquero, Tiago
and Sanchez Net, Marc
and Bae, S. Sandra
and Bickel, Valentin
and Vander Hook, Joshua},
title={Maximizing Dust Devil Follow-Up Observations on Mars Using Cubesats and On-Board Scheduling},
journal={The Journal of the Astronautical Sciences},
year={2022},
month={May},
day={31},
abstract={Several million dust devil events occur on Mars every day. These events last, on average, about 30 minutes and range in size from meters to hundreds of meters in diameter. Designing low-cost missions that will improve our knowledge of dust devil formation and evolution, and their connection to atmospheric dynamics and the dust cycle, is fundamental to informing future crewed Mars lander missions about surface conditions. In this paper we present a mission for a constellation of low orbiting Mars cubesats, each carrying imagers with agile pointing capabilities. The goal is to maximize the number of dust devil follow-up observations through real-time, on-board scheduling. We study scenarios where cubesats are equipped with a 2.5 degree boresight angle camera that accommodates twenty-one slew positions (including nadir). We assume a concept of operations where the cubesats autonomously survey the surface of Mars and can autonomously detect dust devils from their surface imagery. When a dust devil is detected, the constellation is autonomously re-tasked through an onboard distributed scheduler to capture as many follow-on images of the event as possible, so as to study its evolution. The cubesat orbits are propagated assuming two-body dynamics and the ground tracks and camera field of view are computed assuming a spherical Mars. Realistic inter-agent communication link opportunities are computed and included in our optimization, which allow for real-time event detection information to be shared within the constellation. We compare against a powerful ``omniscient'' oracle which has a priori knowledge of all dust devil activity to show the gap between predicted performance and the best possible outcome. In particular, we show that the communications are especially important for acquiring follow-up observations, and that a realistic distributed scheduling mechanism is able to capture a large fraction of all dust devil observations that are possible for a given orbit configuration, significantly outperforming a nadir-pointing heuristic.},
issn={2195-0571},
doi={10.1007/s40295-022-00317-z},
url={https://doi.org/10.1007/s40295-022-00317-z},
clearance = {CL#21-0583  URS298324},
project = {mosaic}
}

Several million dust devil events occur on Mars every day. These events last, on average, about 30 minutes and range in size from meters to hundreds of meters in diameter. Designing low-cost missions that will improve our knowledge of dust devil formation and evolution, and their connection to atmospheric dynamics and the dust cycle, is fundamental to informing future crewed Mars lander missions about surface conditions. In this paper we present a mission for a constellation of low orbiting Mars cubesats, each carrying imagers with agile pointing capabilities. The goal is to maximize the number of dust devil follow-up observations through real-time, on-board scheduling. We study scenarios where cubesats are equipped with a 2.5 degree boresight angle camera that accommodates twenty-one slew positions (including nadir). We assume a concept of operations where the cubesats autonomously survey the surface of Mars and can autonomously detect dust devils from their surface imagery. When a dust devil is detected, the constellation is autonomously re-tasked through an onboard distributed scheduler to capture as many follow-on images of the event as possible, so as to study its evolution. The cubesat orbits are propagated assuming two-body dynamics and the ground tracks and camera field of view are computed assuming a spherical Mars. Realistic inter-agent communication link opportunities are computed and included in our optimization, which allow for real-time event detection information to be shared within the constellation. We compare against a powerful ``omniscient'' oracle which has a priori knowledge of all dust devil activity to show the gap between predicted performance and the best possible outcome. In particular, we show that the communications are especially important for acquiring follow-up observations, and that a realistic distributed scheduling mechanism is able to capture a large fraction of all dust devil observations that are possible for a given orbit configuration, significantly outperforming a nadir-pointing heuristic.

@inproceedings{gulain-astra2022,
author = {Michael Saint-Guillain and Jean Vanderdonckt and Nicolas Burny and Vladimir Pletser and Tiago Vaquero and Steve Chien and Alexander Karl Audrey Comein and Cheyenne Chamart and Cyril Wain and Ignacio S. Casla and Jean Jacobs and Julie Manon and Julien Meert and Sirga Drouet},
title = {Enabling Astronaut Self-Scheduling Using A Robust Modelling And Scheduling System (Rams): A Mars Analog Use Case},
year = {2022},
month = {June},
clearance = {},
booktitle = {16th Symposium on Advanced Space Technologies in Robotics and Automation},
project = {},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Gulain_ASTRA_2022.pdf}
}

@inproceedings{marchetti-psida_2022,
author = {Yuliya Marchetti and Caleb Wagner and Philip Twu and Marissa Cameron and Glenn Reeves and Grace Tan-Wang and Steve Chien and Ken Hurst and Rebecca Castano and Kiri Wagstaff},
title = {In-situ Science Data Analysis and Curation for the Europa Lander Mission Concept},
year = {2022},
month = {June},
clearance = {URS307209 CL#22-1631},
booktitle = {Planetary Science, Informatics and Data Analytics Conference, 2022},
project = {europa-lander},
url = {https://ai.jpl.nasa.gov/public/documents/papers/Marchetti_PSIDAC_2022.pdf}
}

@article{sanchez2022cycler,
  title={Cycler Orbits and Solar System Pony Express},
  author={Sanchez Net, Marc and Pellegrini, Etienne and Parker, Wilson and Vander Hook, Joshua and Woollands, Robyn},
  journal={Journal of Spacecraft and Rockets},
  pages={1--10},
  year={2022},
  publisher={American Institute of Aeronautics and Astronautics},
  url={https://arc.aiaa.org/doi/10.2514/1.A35091}
}

@article{clark-et-al-RSS2022,
  author    = {Lillian Clark and
               Jeffrey A. Edlund and
               Marc Sanchez Net and
               Tiago Stegun Vaquero and
               Ali{-}akbar Agha{-}mohammadi},
  title     = {PropEM-L: Radio Propagation Environment Modeling and Learning for
               Communication-Aware Multi-Robot Exploration},
  journal   = {Robotics: Science and Systems (RSS)},
  year      = {2022},
  month = {June},
  address = {New York City, NY, USA},
  project = {subt},
  clearance = {CL#22-2105  URS305889},
  url={https://ai.jpl.nasa.gov/public/documents/papers/clark-et-al-RSS2022.pdf}
}

@inproceedings{vaquero-et-al-KEPS2022,
author = {Tiago S. Vaquero and Federico Rossi and Rebecca Castano and Ashkan Jasour and Ellen van Wyk and Nihal Dhamani and Anthon Barrett and Bennett Huffman and Marijke Jorritsma},
title = {A Knowledge Engineering Framework for Mission Operations of Increasingly Autonomous Spacecraft},
year = {2022},
month = {June},
booktitle = {Workshop on Knowledge Engineering for Planning and scheduling (KEPS), International Conference on Automated Planning and Scheduling (ICAPS)},
project = {OperationsForAutonomy},
clearance = {CL#22-2269 URS307552},
url={https://ai.jpl.nasa.gov/public/documents/papers/vaquero-et-al-KEPS2022.pdf}
}

@inproceedings{kaufmann-et-al-SPARK2022,
author = {Marcel Kaufmann and Robert Trybula and Ryan Stonebraker and Michael Milano and Correa and Tiago S. Vaquero and Kyohei Otsu and Ali-Akbar Agha-Mohammadi and Giovanni Beltrame},
title = {Copiloting Autonomous Multi-Robot Missions: A Game-inspired Supervisory Control Interface},
year = {2022},
month = {June},
booktitle = {Workshop on Scheduling and Planning Applications (SPARK), International Conference on Automated Planning and Scheduling (ICAPS)},
project = {subt},
clearance = {CL#22-2725 URS308625},
url={https://ai.jpl.nasa.gov/public/documents/papers/kaufmann-et-al-SPARK2022.pdf}
}

@inproceedings{dhamani-et-al-SPARK2022,
author = {Nihal Dhamani and Mark Johnston and Girly Lucena},
title = {Scheduling Within a Demand Access Paradigm for NASA's Deep Space Network},
year = {2022},
month = {June},
booktitle = {Workshop on Scheduling and Planning Applications (SPARK), International Conference on Automated Planning and Scheduling (ICAPS)},
project = {dsn,SSS},
clearance = {CL#22-2742 URS307478},
url={https://ai.jpl.nasa.gov/public/documents/papers/dhamani-et-al-SPARK2022.pdf}
}

@inproceedings{saboia-et-al-rss2022,
  author = {Maira Saboia and
 	Lillian Clark and
 	Vivek Thangavelu and
 	Jeffrey A. Edlund and
 	Kyohei Otsu and
 	Gustavo J. Correa and
 	Vivek Shankar Varadharajan and
 	Angel Santamaria{-}Navarro and
 	Thomas Touma and
 	Amanda Bouman and
 	Hovhannes Melikyan and
 	Torkom Pailevanian and
 	Sung{-}Kyun Kim and
 	Avak Archanian and
	Tiago Stegun Vaquero and
	Giovanni Beltrame and
	Nils Napp and
 	Gustavo Pessin and
 	Ali{-}akbar Agha{-}mohammadi},
  title = {ACHORD: Communication{-}Aware Multi-Robot Coordination with Intermittent Connectivity},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)},
  year = {2022},
  month = {October},
  address = {Kyoto, Japan},
clearance = {CL#22-0999  URS306662},
  project = {subt},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/saboia-et-al-rss2022.pdf}
}

@inproceedings{smices-igarss2022,
  author = {Mehmet Ogut and Xavier Bosch-Lluis and Pekka Kangaslahti and Isaac Ramos-Perez and Joan Francesc Munoz-Martin and Joelle Cooperrider and Qing Yue and Jason Swope and Peyman Tavallali and Steve Chien and Omkar Pradhan and William Deal and Caitlyn Cooke},
  title = {Autonomous Capabilities And Command And Data Handling Design For The Smart Remote Sensing Of Cloud Ice},
  booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS 2022)},
  year = {2022},
  month = {July},
  address = {Kuala Lumpur, Malaysia},
clearance = {CL#22-3219    URS305555},
  project = {smices}
}

@inproceedings{towfic-ieee-aero-2022,
author={Towfic, Zaid and Ogbe, Dennis and Sauvageau, Joe and Sheldon, Douglas and Jongeling, Andre and Chien, Steve and Mirza, Faiz and Dunkel, Emily and Swope, Jason and Ogut, Mehmet and Cretu, Vlad and Pagnotta, Chris},
booktitle={2022 IEEE Aerospace Conference (AERO)},
title={Benchmarking and Testing of Qualcomm Snapdragon System-on-Chip for JPL Space Applications and Missions},
year={2022},
volume={},
number={},
pages={1-12},
doi={10.1109/AERO53065.2022.9843518}}

@inproceedings{basich-iros2022,
  author = {Basich, Connor and Russino, Joseph and Chien, Steve and Zilberstein, Shlomo},
  title = {A Sampling Based Approach to Robust Planning for a Planetary Lander},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)},
  year = {2022},
  month = {October},
  address = {Kyoto, Japan},
  clearance = {CL#22-4305  URS309762},
  project = {europa-lander},
  url = {https://ai.jpl.nasa.gov/public/documents/papers/basich-iros2022.pdf}
}

@inproceedings{park-kdd2022,
  author = {Hyoshin Park and Justice Darko and Niharika Deshpande and Venktesh Pandey and Hui Su and Masahiro Ono and Dedrick Barkley and Larkin Folsom and Derek Posselt and Steve Chien},
  title = {Temporal Multimodal Multivariate Learning},
  booktitle = {Proceedings SIGKDD Conference On Knowledge Discovery And Data Mining},
  year = {2022},
  month = {August},
  address = {Washington, DC, USA},
  clearance = {},
  project = {},
  url = {https://dl.acm.org/doi/10.1145/3534678.3539159}
}