MIT CSAIL turns to sonar and ML to give physical AI the underwater data it lacks
MIT_CSAIL · x · 2026-10-15
MIT CSAIL researchers are tackling the lack of data for physical AI underwater, using sonar combined with machine learning to help robots perceive and operate beneath the surface — filling a key data gap for underwater robotics.
More from Embodied
- BlackBerry launches QNX Launchpad to court early-stage Physical AI startups — pdamodaran · 2026-10-15
- Microduck robot runs onboard SLAM with just 64 pixels of depth, 4.8 cm median error — chris_j_paxton · 2026-10-15
- Dynamic Creatures exits stealth as Boston Dynamics' official entertainment and hospitality partner — PeterBowdenLive · 2026-10-15
- Figure AI valued at $39B tops humanoid chart, exceeds any listed robot maker — LexSokolin · 2026-10-15
- ACCRUE: continual off-policy RL lets robots learn new tasks in 4-12 minutes with 98.3% skill retention — coallaoh · 2026-10-15
- South Korea greenlights factory test with 20 humanoid robots for chip and logistics work — emmanuelvivier · 2026-10-15