SBIR/STTR Research Award

Autonomous UAS Network with AI Driven Wearable Device Control

Award identifier b248a8fb044d4077c1c95a3025b5286152b9bcf8b1a8a5296bee0961da673757Awarding agency Department of Defense · Air Force

Award amount

$49,809

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Robodub Inc
Proposal award date
2019-01-31
Contract end date
2020-01-31
UEI
JFCTMH5NNMK3
Solicitation number
18.3
Topic code
AF183-001

Research abstract

We propose to build an autonomous multi-UAV/UGV network that can be controlled entirely from broad, customizable operational commands from wearable devices. The UAS requires no direct control inputs (directions, throttle, etc), and does not necessarily require direct commands from an operator to any single vehicle. We will develop a command based human-UAS interfacing protocol that can be used with computers, portable devices, and a wide range of wearables. (point to a spot on a map, gesture ‘over there’, gesture ‘open payload hook’, gesture ‘patrol squad perimeter’ etc.). No one has to, or even is, directly linked to controlling a robot. The system takes high level commands, and makes decisions on how to execute them. The exception being that users can assume direct control of an unmanned element if they desire to. The system uses a dynamic, segmented, control hierarchy to govern which system elements (human and computing) have control authority over vehicle flight and subsystems. Control authority can be dynamically transferred to different elements in real-time o Maintains a strict control inheritance to safeguard flight and operations o Sub-system control can be delegated to elements without assigning them actual flight control (Camera control, payload actuator control, etc).

Technology keywords

Not reported

Awards with the same topic code

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Agency intelligence

Department of Defense

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