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Ground and Onboard Automated Scheduling for the Mars 2020 Rover Mission
Jul 27, 2021
Yelamanchili, Amruta; Rabideau, Gregg; Agrawal, Jagriti; Wong, Vincent; Gaines, Daniel; Chien, Steve; Fosse, Elyse; Biehl, James; Kuhn, Stephen; Connell, Andrea; Hazelrig, James; Ip, Iris; Guduri, Usha; Maxwell, Kimberly; Steadman, Kimberly; Towey, Shannon, 2021, "Ground and Onboard Automated Scheduling for the Mars 2020 Rover Mission", https://hdl.handle.net/2014/55534, IWPSS 2021, Pasadena, California, July 27-29, 2021, JPL Open Repository
No abstract provided
Onboard and Ground—based Scheduling for the M2020 Rover Mission
Sep 4, 2020
Gaines, Daniel; Chien, Steve; Rabideau, Gregg; Wong, Vincent; Agrawal, Jagriti; Chi, Wayne; Yelamanchili, Amruta; Towey, Shannon; Biehl, James; Fosse, Elyse; Kuhn, Stephen; Connell, Andrea; Ip, Iris; Hazelrig, James; Guduri, Usha, 2020, "Onboard and Ground—based Scheduling for the M2020 Rover Mission", https://hdl.handle.net/2014/54013, esa-claire workshop on AI in Space, Pasadena, California, September 4, 2020, JPL Open Repository
No abstract provided
Enabling Limited Resource-Bounded Disjunction in Scheduling
Jul 11, 2019
Agrawal, Jagriti; Chi, Wayne; Chien, Steve; Rabideau, Gregg; Kuhn, Stephen; Gaines, Dan, 2019, "Enabling Limited Resource-Bounded Disjunction in Scheduling", https://hdl.handle.net/2014/50913, 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, California, July 11-15, 2019, JPL Open Repository
No abstract provided
Onboard classification of hyperspectral data on the Earth Observing One mission
Aug 26, 2009
Chien, Steve; Tran, Daniel; Schaffer, Steve; Rabideau, Gregg; Davies, Ashley Gerard; Doggett, Thomas; Greeley, Ronald; Ip, Felipe; Baker, Victor; Doubleday, Joshua; Castano, Rebecca; Mandl, Daniel; Frye, Stuart; Ong, Lawrence; Rogez, Francois; Oaida, Bogdan, 2009, "Onboard classification of hyperspectral data on the Earth Observing One mission", https://hdl.handle.net/2014/44664, IEEE Workshop on Hyperspectral Image and Signal Processing, Grenoble, France, August 26-28, 2009, JPL Open Repository
Remote-sensed hyperspectral data represents significant challenges in downlink due to its large data volumes. This paper describes a research program designed to process hyperspectral data products onboard spacecraft to (a) reduce data downlink volumes and (b) decrease latency to...
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