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Adjustable Balanced Autonomy for Cargo/Casualty Unmanned Systems (ABACUS)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-M-0227
Agency Tracking Number: N111-070-1478
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N111-070
Solicitation Number: 2011.1
Timeline
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-05-09
Award End Date (Contract End Date): N/A
Small Business Information
12 Gill Street Suite 1400
Woburn, MA -
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stacy Pfautz
 Senior Scientist
 (781) 496-2430
 spfautz@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
 Stub
Abstract

Future operations will increasingly utilize Vertical Take-Off and Landing (VTOL) Unmanned Air Systems (UAS) to accomplish missions which involve a high degree of uncertainty, such as complex cargo and casualty evacuation. Quite often these missions require U.S. and coalition forces to face challenging and dangerous environments with little advance knowledge or information about their surroundings. Such situations may also require novice users to operate a UAS without the knowledge, skills, or abilities that experienced aviators possess. A scalable user interface approach is needed to enable a wide range of users to interact with highly autonomous VTOL systems. Aptima and our partners propose to address this challenge by developing ABACUS (Adjustable Balanced Autonomy for Cargo/Casualty Unmanned Systems), an application that supports high-level human/UAS interaction and includes: An adjustable autonomy framework that will guide the level of UAS autonomy and adjust to the level of human operator involvement; A scalable user interface based on ecological interface design and capable of using multimodal inputs including 2D/3D gestures/voice; and State of the art automation algorithms that incorporate mission objectives, priorities, constraints, and knowledge from human operators.

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

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