This page presents the vehicle's main subsystems: propulsion, power, onboard computing, sensors, perception, communication and autonomy.
|
8
ThrustersBlue Robotics T200 |
2
BatteriesVenom 4S LiPo 14.8V |
1
Onboard computingNVIDIA Jetson AGX Xavier 32 GB |
|
1
DVLWater Linked DVL-A50 |
1
IMUVectorNav VN-100 |
2
CamerasBlue Robotics Low-Light USB Camera |
The submarine is built around a Jetson AGX Xavier onboard computer, which runs ROS2, perception, autonomy and control algorithms. The main sensors provide orientation, depth, speed, odometry and environmental perception.

IMUVectorNav VN-100 Orientation, acceleration and angular velocity. |
DVLWater Linked DVL-A50 Speed, altitude and underwater odometry. |
DepthBlue Robotics Bar30 Pressure measurement for vertical control. |
SonarBlue Robotics Ping360 Sonar perception and obstacle localization. |
Vision2 Low-Light USB cameras Object detection with YOLO. |
AcousticAquarian Audio H2a ECM Hydrophones for acoustic detection. |
The ASUQTR submarine combines several advanced technologies to navigate autonomously underwater. The main systems used are presented below.
| System | Role | Technology used |
|---|---|---|
| Propulsion | Moves the submarine in all directions | 8 Blue Robotics T200 thrusters |
| Onboard computing | Runs artificial intelligence and autonomy | NVIDIA Jetson AGX Xavier 32GB |
| Computer vision | Object detection and visual navigation | 2 low-light USB cameras + YOLO |
| Inertial navigation | Measures the submarine's orientation and movements | VectorNav VN-100 |
| Underwater positioning | Estimates underwater speed and position | Water Linked DVL-A50 |
| Sonar perception | Obstacle detection and environment mapping | Blue Robotics Ping360 |
| Depth sensor | Measures underwater depth | Blue Robotics Bar30 |
| Hydrophones | Detects underwater acoustic signals | Aquarian Audio H2a ECM |
| Autonomy | Manages autonomous behaviors and missions | ROS2 + FlexBE + LQR/EKF |
| Communication | Transmits data between the submarine and the surface | Waterproof Ethernet tether |
| Power supply | Distributes power to the system | 2 Venom LiPo batteries 14.8V |
| Structure | Mechanical support and module waterproofing | 3D-printed structure + SubConn connectors |
ASUQTR is a multidisciplinary student project aiming to design an autonomous underwater vehicle capable of performing various missions fully autonomously as part of the RoboSub competition.
The project combines several engineering fields, including artificial intelligence, computer vision, control systems, embedded electronics, underwater mechanics and real-time systems.