SBIR/STTR Research Award
Autonomous LARS for Subsea Vehicles
Award amount
$119,989Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Commerce
- Branch
- National Oceanic and Atmospheric Administration
- Recipient company
- Marine Advanced Robotics, Inc.
- Proposal award date
- 2020-01-01
- Contract end date
- 2020-06-30
- UEI
- XVLJK8BMGCL3
- Solicitation number
- NOAA-OAR-OAR-TPO-2019-2005899
- Topic code
- 9.6.03
Research abstract
High resolution deep ocean mapping has historically been a cost prohibitive endeavor for all but the most well-funded governments, companies, individuals, and institutions. It is limited by the acquisition and operational costs of the assets required. Fully autonomous solutions have the potential to dramatically lower the acquisition costs and increase access to the data. One of the key missing pieces is an autonomous Launch and Recovery System (LARS) to unlock the potential of multi-domain marine autonomous systems. Our proposal seeks to address that by providing an autonomous LARS for an USV/AUV combination that also has cross platform applicability. Our solution will increase data acquisition and lower operational costs
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Dynamic Swarming of USVs for Hydrographic Surveys in Disaster Recovery
- Alternative Energy Harvesting for Small Watercraft
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- PhaseII-Benthic Mapping of Geological, Biogeochemical and Biodiversity Parameters through an Autonomous Vehicle and Deep Learning Software Workflow
- Optimization of high resolution multispectral satellite imagery collection for Arctic conditions through custom sensor parameterization and multi-sensor integration for through-the-water space-based seafloor imaging in support of coastal hydrographic surv
- Benthic Mapping of Geological, Biogeochemical and Biodiversity Parameters through an Autonomous Vehicle and Deep Learning Software Workflow
- An Innovative Approach to Seafloor Classification: Applying Advanced Unsupervised Machine Learning in Complex and Variable Bottom Types with Multispectral Satellite Imagery
Research funding history
3 SBIR/STTR records share this UEI (2012–2022). Reported award amounts total $349,855. Reported amounts are not federal obligations.
Phases: Phase I
Agencies: Department of Commerce, Department of Defense