Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
Artificial Intelligence - Special issue on knowledge representation
DDL.1: a formal description of a constraint representation language for physical domains
New directions in AI planning
Fast transformation of temporal plans for efficient execution
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Automating planning and scheduling of shuttle payload operations
Artificial Intelligence - Special issue on applications of artificial intelligence
An Autonomous Spacecraft Agent Prototype
Autonomous Robots - Special issue on autonomous agents
Challenges in bridging plan synthesis paradigms
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Casper: Space Exploration through Continuous Planning
IEEE Intelligent Systems
A Day in an Astronaut's Life: Reflections on Advanced Planning and Scheduling Technology
IEEE Intelligent Systems
An Autonomous Earth-Observing Sensorweb
IEEE Intelligent Systems
Journal of Scheduling
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Automated planning and scheduling technology offers great promise in enabling revolutionary goal-based autonomous spacecraft. Such a spacecraft would be aware of its goals and would automatically select and perform activities to achieve these goals. Goals would include science goals (for example, performing a mapping campaign using the ultraviolet spectrometer) and engineering goals (for example, maintaining the propulsion system's health). Because planning and scheduling technology would allow goal-based commanding, it would enable a dramatic reduction in operations costs, as well as onboard response to faults or science opportunities occurring during the mission. This article describes how automated planning and scheduling technology enables a new class of autonomous spacecraft and describes ongoing efforts at NASA to develop and deploy this technology.