A new American-built underwater drone is aiming to take sailors out of one of the sea's most dangerous jobs: hunting mines. Massachusetts-based Klein Marine Systems has unveiled MANTIS, an unmanned underwater vehicle (UUV) that combines high-resolution side-scan sonar with onboard processing to support mine countermeasures, search and recovery, surveying and infrastructure inspection.
Sonar built into the vehicle
MANTIS is designed around Klein's SmartArray Technology, which embeds key electronics directly within the transducer array. That integrated approach yields a more compact system architecture and frees up valuable payload space on UUV platforms where size, power, speed and data handling are all at a premium. The vehicle is intended for missions where coverage, image quality and target confidence matter most, from hydrographic and geophysical surveys to offshore infrastructure inspection and environmental mapping.
High-resolution imaging at speed
Using advanced processing techniques including dynamic focusing, multiple-look processing and adaptive beamforming, MANTIS delivers consistent sonar imagery across changing ranges and survey speeds of roughly 6 to 8 knots. In its baseline 600 kHz configuration, the system covers up to 150 meters per side for a total swath of up to 300 meters, with 1 cm across-track resolution and a nominal 10 cm along-track resolution out to 50 meters. Additional operating frequencies of 720 kHz and 850 kHz are also available, and the platform is compatible with Klein's SonarPro NXT software for data review, playback and analysis.
Critically, MANTIS carries out real-time sonar data processing onboard, enabling machine interpretation and action during a mission rather than after recovery, and creating what Klein calls a strong foundation for machine learning and AI-assisted analysis. That capability mirrors a broader move toward autonomous maritime systems, exemplified by Kraken Robotics' KATFISH towed sonar and HII's ROMULUS autonomous warship.
Why navies want autonomous mine-hunters
Sea mines remain a cheap and potent tool for sea denial and naval blockades, and an undetected minefield can damage or sink any vessel that strays into it. UUVs equipped with synthetic-aperture sonar and AI-enabled target recognition can detect, classify and identify mine-like objects in real time, reducing the need to put crewed minesweepers and their sailors in harm's way. Analysts increasingly point to a hybrid "leader-follower" model, in which a more capable UUV searches the water for threats while an expendable follower neutralizes them.
Endurance and bandwidth still limit the mission
The main constraints remain power and communications. Underwater endurance is tied directly to the energy density of onboard storage, and radio-frequency links suffer heavy attenuation beneath the surface, leaving these drones bandwidth-limited. Even so, UUVs are increasingly tasked with monitoring critical seabed infrastructure such as oil and gas pipelines and fiber-optic cables, work that complements seabed crawlers and other robotic systems. Research efforts like MIT's human-machine teaming for deep-ocean exploration point to where the field is heading.
Reporting based on coverage from Interesting Engineering and Klein Marine Systems.