NASA's Deep Space Network (DSN) provides communnications and other services for planetary exploration missions as well as other missions beyond geostationary orbit, supporting both NASA and international users. The Service Scheduling Software supports automated scheduling of DSN antenna. At the present time, a typical week includes between 400 and 500 scheduled activities on the antennas of the three DSN complexes.
An autonomous spacecraft must balance long-term and short-term considerations. It must perform purposeful activities that ensure long-term science and engineering goals are achieved and ensure that it maintains positive resource margins. However, it must also respond in a timely fashion to a somewhat dynamic and unpredictable environment. CASPER uses iterative repair to support continuous modification and updating of a current working plan in light of changing operating context.
Surface Water and Ocean Topography (SWOT) is a future NASA/CNES mission set to launch in 2021, aimed at better understanding Earth’s oceans and its terrestrial surface waters. SWOT will conduct a global survey of Earth’s surface water with unprecedented resolution, allowing scientists to better understand subjects from water supply to oceanic circulation to climate change.
SWOT Station Keeping
Dr. Steve Chien is Technical Group Supervisor of the Artificial Intelligence Group and Senior Research Scientist in the Mission Planning and Execution Section at the Jet Propulsion Laboratory, California Institute of Technology where he leads efforts in automated planning and scheduling for space exploration.
Tiago Vaquero is a Technical Group Leader in the Artificial Intelligence Group (397I), Planning and Execution Section, of the Jet Propulsion Laboratory, California Institute of Technology. Tiago works on multi-agent coordination methods for multi-rover cave exploration and surface site characterization.
Dr. Daniel Gaines is a senior member of the Artificial Intelligence Group at JPL. His research interests are in integrated planning and execution and in machine learning to improve planning. His work at JPL is primarily focused on planning and execution techniques for planetary exploration rovers.