Certified waterproof to depths of at least 30 meters.
The deeper it goes, the stronger its watertight seal becomes.
Designed for quick access, allowing for opening and closing in under 30 seconds.
Features a robust main control module.
Powered by the Pixhawk 6C for precise operations.
Supports multiple communication protocols, including 40 MHz, I2C, PWM, and more.
Handles thruster management and motion control with precision.
Every module has its own communication board that converts local sensor data to a shared bus.
A small microcontroller in each module makes navigation data and storage accessible everywhere.
New modules plug into the network with just an input and output connector, reducing cable spaghetti.
8000 mAh base power storage for extended operation.
Features a dual-layer automatic safety cutoff and an additional dual-layer manual safety cutoff.
Provides both 12V and 5V power supplies for diverse system requirements.
Integrated Battery Management System (BMS) with individual cell protection for maximum reliability.
Designed to maximise thrust-to-power consumption ratio for both mono- and bi-directional thruster pods.
Delivers 30 watts of power output.
Ensures operator and debris safety for reliable and secure functionality.
Includes static, quasi-static, and dynamic buoyancy modes.
Provides static buoyancy with 1 kg + 5% of the drone’s weight for secure return to the surface, even while carrying an object.
Quasi-static buoyancy managed through four active ballast tanks.
Achieved using two vertical bidirectional thrusters.
Features a 6-axis hydraulic manipulator for versatile movement.
Equipped with a multipurpose fin-ray gripper for precise handling.
Offers a maximum reach of 300 mm.
Each arm segment includes a potted Hall-effect angle sensor PCB.
These sensors provide absolute joint angles, allowing precise control of the gripper pose.
Integrated sensing turns the arm from a “blind” tool into a precise underwater manipulator.
Magnetic reed switches allow the emergency stops to be activated through the module wall.
One e-stop cuts power to the entire AUV, the other disables only the actuators such as thrusters.
This makes it possible to work safely on the vehicle while keeping electronics powered.
A custom digital twin is used to train reinforcement learning controllers for the AUV.
Using algorithms such as Proximal Policy Optimisation, the system learns to maintain position and orientation under thruster forces.
The transparent simulation allows physics models to be validated and prepares trained controllers for both onboard and remote computation.
A compact hydraulic module fits entirely inside an Ø80 × 240 mm pressure tube.
It operates at 12 bar using sunflower oil for reliable and environmentally friendly performance.
A custom valve block controls six actuators and can lock the arm in position without pump power.
