The autonomous marine vehicles development has a grow demand by offshore industries. multiple facilities implemented in this environment requires the evolution of devices for several task as survey, maintenance or monitorization. technology complexity great efforts economics and resources to innovate. In line, ENDURUNS project purposes design an system capable performance long endurance during ...

Michael R. Benjamin Naval Undersea Warfare Center, Newport, Rhode Island 02841, and Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 e-mail: [email protected] Henrik Schmidt Department of Mechanical Engineering, Laboratory for Autonomous Marine Sensing Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts 02...

A neural network model reference adaptive controller for trajectory tracking of nonlinear systems is developed. The proposed control algorithm uses a single layer neural network that bypasses the need for information about the system’s dynamic structure and characteristics and provides portability. Numerical simulations are performed using nonlinear dynamic models of marine vehicles. Results ar...

There has been an increased interest in the development of biologically inspired vehicles and robotics, as they have the potential of outperforming the current state of the art in metrics of efficiency, economy, maneuverability, and stealth. In marine applications, unmanned underwater vehicles currently rely on the steady state propellor or screw, which can be inefficient, noisy, application sp...

Waterline usually plays as an important visual cue for the autonomous navigation of marine unmanned surface vehicles (USVs) in specific waters. However, complexity inland waterline presents a significant challenge development highly efficient computer vision algorithms tailored detection complicated water environment that USVs face. This paper attempts to find solution guarantee effectiveness w...

Explainable Artificial Intelligence (XAI) for Autonomous Surface Vehicles (ASVs) addresses developers’ needs model interpretation, understandability, and trust. As ASVs approach wide-scale deployment, these are expanded to include end user interactions in real-world contexts. Despite recent successes of technology-centered XAI enhancing the explainability AI techniques expert users, approaches ...