Our WAM-V’s guidance system is responsible for high-level decision-making and path planning, enabling the vessel to autonomously traverse complex aquatic environments. At the heart of this system lies a dynamic path planning algorithm based on the D* search method.

Our vessel can adapt in real time to changes in the environment, making it ideal for autonomous marine navigation. It continuously replans the optimal path from the vessel's current position to its goal as new sensor data is received, ensuring safe and efficient travel.

We utilise a sophisticated SLAM algorithm on the WAM-V platform to enable autonomous navigation.

By integrating sensor data from cameras and LiDAR, our SLAM system constructs a map of the environment while simultaneously estimating our position within that map. Both the map and estimated position are continuously updated as we traverse the waters.

With 6 Blue Robotics T500 thrusters, 4 at the stern and 2 at the bow, our WAM-V can glide seamlessly across smooth or rough seas alike.

On top of that add an advanced MPC (Model Predictive Control) algorithm, and our vessel can outperform even the most capable human pilots in traversing any path that lies ahead.