Autonomous Environmental Routing Onboard (AERO)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-19-C-0005
Agency Tracking Number: A2-7228
Amount: $615,141.14
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A17-026
Solicitation Number: 2018.1
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-18
Award End Date (Contract End Date): 2019-12-17
Small Business Information
1399 Stewartstown Road, Suite 350, Morgantown, WV, 26505
DUNS: 965961969
HUBZone Owned: Y
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Eric Babayak
 (814) 322-6235
 ebabyak@nextgenfed.com
Business Contact
 Arica Rohn
Phone: (937) 314-4179
Email: arohn@nextgenfed.com
Research Institution
N/A
Abstract
The Autonomous Environmental Routing Onboard (AERO) system is an innovative software-hardware solution that performs onboard processing of environmental information from multiple sources to execute autonomous route adjustments for Unmanned Aircraft Systems (UASs). This processing and resulting autonomy minimizes negative environmental impacts while leveraging advantageous conditions for executing missions, both individually and as a swarm.AERO provides environmental intelligence to UASs including the ability to ingest environmental (e.g., meteorological, obstructions) data to construct grids that are input into the Armys Automated Impacts Routing (AIR) system, embedded onboard, resulting in optimal routes for the autopilot. The solution includes onboard environmental sensors and communications with a ground station and the swarm (of other UASs). AERO also leverages favorable environmental conditions to expand flight time, improving the UAS and swarms mission capabilities. AEROs innovative architecture allows for the integration of various environmental sensors for route optimization and collective data sharing. With its dual-mode capabilities, AERO is designed to function (1) by ingesting model and impact grids and sharing onboard sensor data in coordination with the ground station, and (2) becoming self-reliant when disconnected, using internally-stored data and sensors to continue the mission.

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

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