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JPL's AI group performs basic research with applications to science analysis, spacecraft operations, mission analysis, deep space network operations, & space transportation systems.
Pasadena based JPL currently has 18 projects detailed on their AI Intelligence Group website including:
- Mission Operations Planning for Increasingly Autonomous Spacecraft : As a compelling example, autonomy has already significantly increased the capabilities of Mars rover missions, enabling them to perform autonomous long-distance navigation and autonomous data collection on new science targets
- Volcano sensorweb: The Sensor Web Project uses a network of sensors linked by software and the internet to an autonomous satellite observation response capability. This system has been used to
- Implement a global surveillance program to study volcanos.
- Also run sensorweb tests to study
- flooding
- cryosphere events
- atmospheric phenomena.
- Surface Biology and Geology (SBG) - CLASP serves as the core tool for mission analysis. Developed by the AIG and used in several flight missions,
- It ingests
- spacecraft trajectories,
- science campaigns with their observational constraints,
- and spacecraft models
- Outputs observation schedules for a given planning horizon.
- Without an automated scheduling system, it would be difficult to determine the effects of changing parameters on observation outcomes. CLASP enables mission planners to easily try different candidate configurations and see their effects.
- It ingests
JPL Artificial Intelligence Group (nasa.gov)
Publications | AIG JPL (nasa.gov)
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