SBIR-STTR Award

FastFish
Award last edited on: 8/23/2024

Sponsored Program
STTR
Awarding Agency
DOD : OSD
Total Award Amount
$849,714
Award Phase
2
Solicitation Topic Code
OSD21C-007
Principal Investigator
Michael Rufo

Company Information

Boston Engineering Corporation

300 Bear Hill Road
Waltham, MA 02451
   (781) 466-8010
   info@boston-engineering.com
   www.boston-engineering.com

Research Institution

W911NF23C0029

Phase I

Contract Number: 2023
Start Date: University of Virgin    Completed: 9/1/2023
Phase I year
2023
Phase I Amount
$1
Direct to Phase II

Phase II

Contract Number: N/A
Start Date: 8/31/2024    Completed: 9/1/2023
Phase II year
2023
(last award dollars: 1724426150)
Phase II Amount
$849,713

High performance underwater operation with low probability of detection in challenging areas can provide significant value across many naval missions. There is an ongoing desire for greater range, endurance, and speed for unmanned underwater vehicles (UUVs). Bio-informed UUV designs offer potential improvements, particularly in swimming speed. Boston Engineering is proud to offer “bio-robotics convergent evolution”: a solution based on the combined technology and expertise of our world class team. Our team includes leaders in bioinspired robotics: Dr. Hilary Bart-Smith, her team at the University of Virginia, Dr. George Lauder of Harvard University, and Boston Engineering, producers of GhostSwimmer, the Navy’s highly successful autonomous underwater vehicle (AUV) that replicates the dynamics of fish to move rapidly and accurately in areas inaccessible to other vehicles. This proposal leverages the existing proven technology of Boston Engineering with the latest ground-breaking bio-informed robotic system development and analyses of our team. This combination provides major advances in UUV speed-at-low-cost of transport that is beyond state of the art and focuses on the specific challenges of this development. Our unique approach advances to well-beyond-SOTA more rapidly, provides greater probability of success in all Phases, and focuses on the right risks, while reducing the others.