Implementation & Flight Testing of IMPACT System for Autonomous ISR using Collaborating UAVs with Application to Wild Fire Monitoring

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX14CL93C
Agency Tracking Number: 120193
Amount: $749,945.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T15.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2012
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-09-19
Award End Date (Contract End Date): 2016-09-18
Small Business Information
500 West Cummings Park, Suite 3000, Woburn, MA, 01801-6562
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Jovan Boskovic
 Sr. Group Leader
 (781) 933-5355
 jovan@ssci.com
Business Contact
 Michael McComas
Title: Business Official
Phone: (603) 860-6016
Email: contracts@ssci.com
Research Institution
 Massachusetts Institute of Technology
 Michael Corcoran
 77 Mass Avenue, Building Northeast 18-901
Cambridge, MA, 02139
 (617) 253-3906
 Domestic nonprofit research organization
Abstract
SSCI and MIT propose to further develop, implement and test the Integrated Mission Planning & Autonomous Control Technology (IMPACT) system software for autonomous ISR missions employing collaborating UAVs. IMPACT system is based on real-time learning about dynamic and stochastic environments, and on a capability to autonomously react to contingencies while satisfying the mission objectives and the overall flight safety. Phase II focus will be on real-time vehicle assignment & trajectory planning technologies for forest fire monitoring, overall system integration, and evaluation of its performance through computer and hardware-in-the-loop simulations and flight tests at Olin College or Great Dismal Swamp. Key technologies to be further developed & tested in Phase II include: (i) Vehicle assignment & real time trajectory generation for collaborative ISR for fire boundary identification using the MOTOR system (Multi-objective Trajectory Optimization & Re-planning); (ii) Robust on-line learning for prediction of the fire spread using the intelligent Cooperative Control Architecture (iCCA); (iii) Collaborative assignment for fire perimeter tracking with reactive trajectory planning based on predicted fire spread using MOTOR and iCCA; (iv) Contingency management, including the loss of vehicle, vehicle replacement & mitigation of lost communication link; and (v) Predictive camera pointing control based on predicted fire spread. The project will leverage a number of technologies recently developed by SSCI and MIT, and integrate various system modules within a flexible and user-friendly software product. Phase II deliverables will include the IMPACT software and accompanying documentation, while Phase III will be focused on commercialization of the IMPACT software.

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

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