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
Name: Daniel Kuehme
Title: Chief Technology Officer
Phone: (678) 594-5227
Email: dkuehme@areai.aero
Title: Chief Technology Officer
Phone: (678) 594-5227
Email: dkuehme@areai.aero
Business Contact
Name: Hilary Beeston
Title: Chief Financial Officer
Phone: (678) 594-5227
Email: hbeeston@areai.aero
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. *