Leveraging Multiple Artificial Intelligence Techniques to Improve the Responsiveness in Operations Planning: ASPEN for Orbital Express

Knight, Russell (Jet Propulsion Laboratory, California Institute of Technology) | Chouinard, Caroline (Red Canyon Software) | Jones, Grailing (Jet Propulsion Laboratory, California Institute of Technology) | Tran, Daniel (Jet Propulsion Laboratory, California Institute of Technology)

AI Magazine 

The challenging timeline for DARPA's Orbital Express mission demanded a flexible, responsive, and (above all) safe approach to mission planning. Mission planning for space is challenging because of the mixture of goals and constraints. These technologies had a significant impact on the success of the Orbital Express mission. Finally, we formulated a technique for converting procedural information to declarative information by transforming procedures into models of hierarchical task networks (HTNs).