Robosub

Data from the depths

Ready to take a deep dive?

Robosub

Waterproof modular casings

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.

Main control system

Features a robust main control module.

Powered by the Pixhawk 6c for precis operations.

Supports multiple communication protocols, including 40 MHz, I2C, PWM, and more.

Handles thruster management and motion control with precision.

Power module

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.

Propulsion duct

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.

Buoyancy module

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 4 active ballast tanks.

Achieved using 2 vertical bidirectional thrusters.

Hydraulic manipulator

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.

Hydraulic control module

Supports up to 8 hydraulic actuators.

Operates at pressures of up to 30 bars.

Includes a pump, 8 three-way valves, operating and overpressure valves, hydraulic tank, hydraulic filter, and pressure and temperature sensors.

Why the Robosub?

Robosub is an innovative underwater robotics project, run by teachers, students, and researchers of HU University of Applied Sciences Utrecht, with transformative potential across multiple industries. Designed to revolutionize marine research and operations, the Robosub offers diverse applications:

With its blend of practical applications and potential to disrupt traditional industries, Robosub positions itself as a high-impact solution that aligns with global trends in sustainability, safety, and technological advancement.

Invest in Robosub to be part of a future where marine innovation meets societal and environmental progress.

Our mission

Our mission is to explore the uncharted potential of autonomous underwater vehicles (AUVs) and revolutionize underwater research and engineering. As one of the few university student teams focusing on marine innovation, we aim to push the boundaries of technology to better understand and protect our underwater world.

By combining cutting-edge design, teamwork, and curiosity, we develop versatile solutions for environmental monitoring, infrastructure maintenance, and safer underwater operations. Through our passion for marine technology, we inspire the next generation of engineers and contribute to a more sustainable and interconnected planet.

Proudly
sponsored by

Innovation happens faster with the right support, and we’re proud to introduce the sponsors who make our journey possible. As a university of applied sciences we are thrilled to partner with organisations that align with our mission and vision. Their trust and backing drive our mission to explore and innovate in the underwater world. Together, we’re pushing the limits of what’s possible.

Our
team

This isn’t the full team — we’re also thrilled to be working with an incredible multidisciplinary group of over 30 students and Honours students from HU University of Applied Sciences Utrecht.

  • Matthijs Smakman,
    lector Smart Systems for Healthy Living

  • Rik Lafeber,
    docent-onderzoeker WTB

  • Colin Voncken,
    docent-onderzoeker WTB

  • Chun Fei Lung,
    software engineer

  • Alwin van den Broek,
    onderzoeker

  • Joost Vanstreels,
    docent AI