Safe agents in space: lessons from the autonomous sciencecraft experiment

Authors:
Rob Sherwood;Steve Chien;Daniel Tran;Benjamin Cichy;Rebecca Castano;Ashley Davies;Gregg Rabideau
Affiliations:
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

An Autonomous Science Agent is currently flying onboard the Earth Observing One Spacecraft This software enables the spacecraft to autonomously detect and respond to science events occurring on the Earth The package includes software systems that perform science data analysis, deliberative planning, and run-time robust execution Because of the deployment to a remote spacecraft, this Autonomous Science Agent has stringent constraints of autonomy and limited computing resources We describe these constraints and how they are reflected in our agent architecture.