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MANERVA: Mission Assessment of Non-Manned Entities for Rating the Validation of Autonomy

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0113
Agency Tracking Number: O09B-004-4004
Amount: $99,535.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: OSD09-T004
Solicitation Number: 2009.B
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-04-29
Award End Date (Contract End Date): 2010-10-29
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Stouch
 Senior Software Engineer
 (617) 491-3474
Business Contact
 Ninos Hanna
Title: Contract Specialist
Phone: (617) 491-3474
Research Institution
 Boston University
 Steven A Singer
881 Commonwealth Avenue Comptroller''s Office-Admin.
Boston, MA 2215
United States

 (617) 353-3529
 Nonprofit College or University

The dependability, persistence, and versatility of unmanned systems have made them indispensable assets in today’s warfighting. As they are tasked to fulfill new missions in unpredictable, dynamic environments, they are transitioning from remote control into the realm of autonomy. Here they perform rapid and semi-autonomous behaviors, such as re-planning and re-tasking, to accomplish mission objectives in mixed-initiative fashion along with skilled human operators. For operators and their commanders to develop confidence in these autonomous control algorithms, they must demonstrate that they can reliably complete mission tasks, and provide operators with a better understanding of the capabilities and limitations of their systems during varying mission scenarios. We propose to develop a Mission Assessment of Non-Manned Entities for Rating the Validation of Autonomy (MANERVA) analytical verification and validation workbench. MANERVA will allow the user to configure verification experiments for particular mission scenarios, select autonomous control algorithms to run, choose metrics (and add new ones) to promote objective evaluation, execute simulations to generate vehicle paths and behavioral actions, and analyze the results and rate the validity of the vehicle’s determined course of action by representing its effectiveness using novel visualization techniques.

* Information listed above is at the time of submission. *

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