Micro Autonomous Systems and Technology: A Methodology for Quantitative Technology Assessment and Prototyping of Unmanned Vehicles
Abstract
The primary objective of Quantitative Technology Assessment (QTA) is to explore the design space of technology alternatives currently under research by the MAST Consortium, and then quantitatively assess technology impacts on overall mission effectiveness. This seeks to answer two primary research questions: what combinations of Microsystems will best enable mission success, and how to quantify the technology gap between the Warfighter and the technologist. Considering the current work of the MAST consortium, the research of this past year has been heavily focused on rotary and flapping wing platforms. However, recent progress was made to include more general platforms and technologies. This past year, the Interactive Reconfigurable Matrix of Alternatives (IRMA) tool was modified and updated to reflect the three MAST CTA mission scenarios: (1) convoy assistance, (2) non-lethal area protection, and (3) interior building reconnaissance. Results were ranked and then utilized in the modeling and simulation environments. Further, a collaborative, web-based version was developed for online access by all consortium members. This will enable every member to access the developed technology database, view current technologies, update specifications for their technologies, and explore various combinations resulting in homogeneous solutions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 30, 2012
- Accession Number
- AD1049681
Entities
People
- Aaron Mosher
- Carl H. Johnson
- Dimitri Mavris
- Leslie Hall
- Michael Looby
- Patrick Dees
- Pierre Valdez
- Steven T. Jackson
- Tim Dyer
- Zohaib Mian
Organizations
- Georgia Tech