Underwater autonomous vessels and robots could play a substantial role in defense operations, but submersibles have historically had trouble communicating across large distances unless they rose to the surface. But coming up to transmit poses the very obvious risk of being exposed.
Skana Robotics thinks it’s made a breakthrough with underwater communications using AI — but not the large language models the industry touts today.
Tel Aviv-based Skana has developed a new capability for its fleet management software system, SeaSphere, that allows groups of vessels to communicate with each other underwater across long distances using AI.
The system allows vessels to share data and react to what they hear from other robots. This, Skana says, gives individual units the ability to autonomously adapt to the information they receive and change their course or task while still working toward the same general mission as the fleet. The startup says its software can also be used to secure underwater infrastructure and supply chains.
“Communication between vessels is one of the main challenges during the deployment of multi-domain, multi-vessel operations,” Idan Levy, the co-founder and CEO of Skana Robotics, told TechCrunch. “The problem that we tackle is how you can deploy hundreds of unmanned vessels in an operation, share data, communicate on the surface level and under the water.”
Teddy Lazebnik, an AI scientist and professor at the University of Haifa in Israel, led the research to develop this new capability. Lazebnik told TechCrunch that to build this decision-making algorithm, they couldn’t turn to the latest AI technology, but had to use AI algorithms that are a bit older and more mathematically driven.
“The new algorithms have two properties: they are more powerful, but as a result, are less predictable,” Lazebnik said. “Hypothetically, you’ …