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Biologically and Environmentally Robust Non-Lethal Aversion Robotic Device (BERNARD)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9302-19-P-1008
Agency Tracking Number: F182-031-0436
Amount: $149,989.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF182-031
Solicitation Number: 18.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-04-18
Award End Date (Contract End Date): 2020-01-18
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138-0000
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Jenkins
 Senior Scientist
 (617) 491-3474
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Research Institution

Of the Federal land owned by US agencies, the land owned by the Department of Defense (DoD) and US Forest Service house the most species designated as federally threatened or endangered by the Endangered Species Act (ESA). Military installations are mandated by the ESA and Sikes Act to take proactive measures to conserve protected wildlife on their lands. Predators are often a major threat to protected species, yet there are challenges with current predator control methods, such as hiring biologists, which is expensive and does not scale, and lethal tactics, which disrupt ecosystems and cannot be used for protected predators. To overcome these challenges, Charles River Analytics proposes to design and prototype the Biologically and Environmentally Robust Non-Lethal Aversion Robotic Device (BERNARD). BERNARD is an animatronic prey decoy designed for extended deployments in natural environments. It is equipped with context-aware, non-lethal aversion strategies, such as light, sound, and vibration, to train predators from preying on specific species. The software and mechanical components are modular by design to adapt to a variety of species. BERNARD is a low-cost, scalable, and flexible solution that can gather data on a large scale and provide rich insights into a wide range of predator-prey relationships.

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

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