Nauticus Robotics Achieves Deepwater Milestone with Subnero Modems
Nauticus Robotics has announced successful test results for its Aquanaut vehicle using Subnero modems, achieving continuous subsea communication at depths of 2300 meters. This milestone was announced in a press release, highlighting the performance of Subnero's modems in ultra-deepwater conditions.
The tests, conducted in the Gulf of Mexico, involved lowering a Subnero surface modem to two meters below the sea surface, maintaining a reliable communication link with the Aquanaut vehicle as it descended. This achievement not only marks the deepest operation of a Subnero modem but also confirms its capability to support autonomous underwater operations.
Nauticus plans to continue testing the Aquanaut vehicle down to its designed operational depth of 3000 meters, which is sufficient to cover 90% of offshore oil and gas fields globally. John Gibson, President and CEO of Nauticus Robotics, emphasized the importance of reliable underwater communication for expanding autonomous operations worldwide. Manu Ignatius, CEO of Subnero, expressed pride in the modems' performance, reinforcing their mission to provide effective underwater communication solutions.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle
Neros Receives More Than $100 Million Order for 14,000 Drones
General Dynamics and Primordial Labs Bring Voice Controls to Combat Vehicles
SIMSY Adds Atombeam Neurpac for LiDAR Data Transfer
Araceli Adds Cellular Imaging to Ginkgo's Nebula Lab
Daily AI Brief: the AI news that matters, in your inbox.