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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Ian Marks
(Advisor: Prof. Dimitri Mavris]
will propose a master’s thesis entitled,
(MADTEAM) Multi Agent Digital Twin Enabled Activity Management
On
Thursday, December 16 at 12:00 p.m. – 2:00 p.m.
In
The Collaborative Visualization Environment (CoVE)
Weber Space Science and Technology Building (SST II)
On the campus of the Georgia Institute of Technology
And
Meeting URL: https://bluejeans.com/385661635/9266
Meeting ID: 385 661 635 Participant Passcode: 9266
Abstract
Dynamic Decision Making (DDM) is making a series of interdependent decisions to achieve some overall goal while adapting to the results of previous decisions alongside environmental changes. Examples vary from individual predictive maintenance to multi agent tasking. When making dynamic decisions, the goal is to minimize uncertainty for future actions by predicting consequences for both the individual and the group. In a squadron with vehicles of the same type, their performance is not exactly the same between them, such as fatigue rate and structural health. Infusing individual performance capabilities and their uncertainties can overwhelm the decision maker. One approach to improve the decision making process for multiple agents is through the use of Digital Twins. While a digital twin is a virtual representation of a connected physical system, the aspects of computational and physical requirements impact the overall capability and utility of their infusion. Furthermore, the aspects of fidelity, runtime, latency, and proximity (due to the physical requirements) need to be assessed to determine the value within multi agent DDM. The proposal seeks to evaluate the infusion of Digital Twins in a multi agent DDM architecture, the challenges with the infusion, and a comparison to historically deterministic decision making processes for a relevant aerospace scenario to trade overall mission effectiveness
Committee
Adrienne Durham, M.Ed.
Academic Program Manager
Aerospace Systems Design Laboratory
Daniel Guggenheim School of Aerospace Engineering
Georgia Institute of Technology
Office: 404.385.3109
Fax: 404.894.6596
https://gatech.bluejeans.com/4012250101
BlueJeans meetings available, by appointment; please email to schedule.
