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Decision Support for Operators of Fully Autonomous Systems using RESTORE: Robust Execution System for Trusted Operation in Relevant Environments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0231
Agency Tracking Number: N18B-032-0034
Amount: $1,826,226.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18B-T032
Solicitation Number: 18.B
Timeline
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-04-16
Award End Date (Contract End Date): 2024-03-04
Small Business Information
500 West Cummings Park Suite 3000
Woburn, MA 01801
United States
DUNS: 859244204
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jovan Boskovic
 Principal Research Engineer
 (781) 933-5355
 Jovan.Boskovic@ssci.com
Business Contact
 Lora Loyall
Phone: (781) 933-5355
Email: contracts@ssci.com
Research Institution
 Massachusetts Institute of Technology (MIT)
 Stacey Sullaway Stacey Sullaway
 
77 Massachusetts Avenue
Cambridge, MA 02139
United States

 (617) 324-7210
 Nonprofit College or University
Abstract

SSCI and MIT (Prof. Julie Shah) propose to develop and test a system that provides real-time assurance and trust in decisions made by autonomous collaborating vehicles. The proposed system is referred to as the RESTORE (Robust Execution System for Trusted Operation in Relevant Environments) and represents a decision support tool which facilitates decision making by the operator in cases when decisions by the Collaborative Autonomy (CA) system results in deviations from mission objectives. Key elements of RESTORE Include: (i) Contextual Interrogation Engine which uses an innovative approach to contextualize the interrogation, present the results in natural language, and increase trust in autonomy; (ii) Dynamic assurance engine which monitors mission parameters during operation and, in the case of deviations, provides the operator with alternate courses of action; and (iii) Vehicle-agnostic middleware to enable applicability of RESTORE to heterogeneous platforms operating in different domains. RESTORE will extend our field-proven CA system and MIT’s autonomy interrogation techniques with results presented in natural language. SSCI’s expertise in the development, implementation and transition of CA systems to operational platforms, combined with MIT’s expertise in machine intelligence and human-machine teaming, will result in an enhanced capability applicable to a range of DoD programs and platforms.

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

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