Show simple item record

dc.contributor.authorMichini, Bernard J.
dc.contributor.authorHow, Jonathan P.
dc.date.accessioned2013-10-23T13:40:08Z
dc.date.available2013-10-23T13:40:08Z
dc.date.issued2011-03
dc.identifier.isbn978-1-60086-944-0
dc.identifier.issn1946-9802
dc.identifier.urihttp://hdl.handle.net/1721.1/81478
dc.description.abstractAircraft carrier deck operations present a complex and uncertain environment in which time-critical scheduling and planning must be done, and to date all course of action planning is done solely by human operators who rely on experience and training to safely negotiate off -nominal situations. A computer decision support system could provide the operator with both a vital resource in emergency scenarios as well as suggestions to improve e fficiency during normal operations. Such a decision support system would generate a schedule of coordinated deck operations for all active aircraft (taxi, refuel, take o ff, queue in Marshal stack, land, etc.) that is optimized for effi ciency, amenable to the operator, and robust to the many types of uncertainty inherent in the aircraft carrier deck environment. This paper describes the design, implementation, and testing of a human-interactive aircraft carrier deck course of action planner. The planning problem is cast in the MDP framework such that a wide range of current literature can be used to fi nd an optimal policy. It is designed such that human operators can specify priority aircraft and suggest scheduling orders. Inverse reinforcement learning techniques are applied that allow the planner to learn from recorded expert demonstrations. Results are presented that compare various types of human and learned policies, and show qualitative and quantitative matching between expert demonstrations and learned policies.en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Science of Autonomy Program)en_US
dc.language.isoen_US
dc.publisherAmerican Institute of Aeronautics and Astronauticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.2514/6.2011-1515en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleA Human-Interactive Course of Action Planner for Aircraft Carrier Deck Operationsen_US
dc.typeArticleen_US
dc.identifier.citationMichini, Bernard, and Jonathan How. “A Human-Interactive Course of Action Planner for Aircraft Carrier Deck Operations.” In Infotech@Aerospace 2011. American Institute of Aeronautics and Astronautics, 2011.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Aerospace Controls Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.mitauthorMichini, Bernard J.en_US
dc.contributor.mitauthorHow, Jonathan P.en_US
dc.relation.journalProceedings of the Infotech@Aerospace 2011en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsMichini, Bernard; How, Jonathanen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8576-1930
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record