Advancing underwater exploration with robotics
summary
Seafloor Systems deploys 3,000+ autonomous robots and claims quantifiable gains: HyDrone keeps transects to less than 10 ft cross-track error versus ~100 ft for crewed boats, an EchoBoat runs Arctic bathymetry with a Pico 120 kHz multibeam, and HydroCat variants map infrastructure for years (HydroCat on the HRBT project through 2025). They built a LIDAR+camera collision avoidance stack (Ouster LIDAR, Tangram Vision sensor fusion), use ROS/Docker and AWS RoboMaker/SageMaker, and mapped 444 miles of the California Aqueduct.
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chapters (15)
- 0:00Intro
- 0:56What's the big deal with scribbly lines?
- 2:22Using sound to see the depths
- 4:27Amphibious and ubiquitous
- 6:15What does a Seafloor R&D project look like?
- 7:27Collision Avoidance Assist (CAA) features and abilities
- 16:13Hampton Roads Bridge-Tunnel expansion
- 18:11HydroCat-150 maps 444-mile California Aqueduct
- 21:12USGS uses tandem surface vessels to survey the California Delta
- 29:11Project 11: Mapping focused backseat driver
- 31:59Field testing: Cove outline
- 32:10Field testing: Uncharted dock Large, uncharted floating dock
- 33:00Improved Sonar Bathymetry Data
- 34:04ANTX - MIND Technology
- 40:54HC-180 and EB Turbo: Here's where we're going
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