Lessons learned from autonomous sciencecraft experiment

Authors:
Steve Chien;Rob Sherwood;Daniel Tran;Benjamin Cichy;Gregg Rabideau;Rebecca Castaño;Ashley Davies;Dan Mandl;Stuart Frye;Bruce Trout;Jeff D'Agostino;Seth Shulman;Darrell Boyer;Sandra Hayden;Adam Sweet;Scott Christa
Affiliations:
California Institute of Technology;California Institute of Technology;California Institute of Technology;California Institute of Technology;California Institute of Technology;California Institute of Technology;California Institute of Technology;Goddard Space Flight Center;Goddard Space Flight Center;Goddard Space Flight Center;Goddard Space Flight Center;Goddard Space Flight Center;Interface & Control Systems;NASA Ames Research Center;NASA Ames Research Center;NASA Ames Research Center
Venue:
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Year:
2005

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Abstract

An Autonomous Science Agent has been flying onboard the Earth Observing One Spacecraft since 2003. This software enables the spacecraft to autonomously detect and responds to science events occurring on the Earth such as volcanoes, flooding, and snow melt. The package includes AI-based software systems that perform science data analysis, deliberative planning, and run-time robust execution. This software is in routine use to fly the EO-1 mission. In this paper we briefly review the agent architecture and discuss lessons learned from this multi-year flight effort pertinent to deployment of software agents to critical applications.