Flight Testing of Resource allocation for Multi-Agent Planning (ReMAP) System for Unmanned Vehicles

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CD12P
Agency Tracking Number: 154366
Amount: $124,183.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A2.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-17
Award End Date (Contract End Date): 2015-12-17
Small Business Information
1590 North Roberts Road, Suite 102, Kennesaw, GA, 30144-3636
DUNS: 829299747
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Daniel Kuehme
 Chief Technology Officer
 (678) 594-5227
 dkuehme@areai.aero
Business Contact
 Hilary Beeston
Title: Chief Financial Officer
Phone: (678) 594-5227
Email: hbeeston@areai.aero
Research Institution
N/A
Abstract
Area-I, Incorporated personnel have led the design, fabrication, and flight testing of fourteen unmanned aircraft, one manned aircraft, and numerous advanced guidance, control, and avionics packages. Area-I has continued this tradition in its development of the Resource allocation for Multi-Agent Planning, or ReMAP, guidance and navigation system for unmanned aircraft. The ReMAP system, whose core function is to significantly reduce operator workload by providing mission-driven autonomy to unmanned aircraft in single- and multi-agent scenarios, has already undergone extensive hardware-in-the-loop simulation-based evaluations and the work proposed herein will further mature the ReMAP technology through actual flight-based evaluations on Area-I aircraft. Core capabilities provided by the ReMAP system include: 1) A small, lightweight, inexpensive avionics package that provides real-time mission-driven guidance capabilities to unmanned air vehicles 2) A system architecture that is platform and autopilot agnostic and can therefore be utilized by a wide array of aircraft with varying performance levels 3) A multi-agent planning and control algorithm to allow multiple aircraft to coordinate and thereby maximize mission capabilities and results 4) Aircraft and obstacle avoidance capabilities, including ADS-B In integration, providing autonomous avoidance maneuvers or operator warnings 5) A mission planning toolbox to provide situational awareness and mission management to operators, usable as a stand-alone system or integrated with existing mission planning tools such as NASA's Airborne Science Mission Tools Suite

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

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