Abstract
This work presents an open-source simulation framework designed to extend the capabilities of the VRX environment for developing and validating control strategies for surface robotic vehicles. The platform features a custom monohull, kayak-type USV with four thrusters in differential configuration, represented with a complete graphical mockup consistent with its physical design and modeled with realistic dynamics and sensor integration. A thrust mapping function was calibrated using manufacturer data, and the vehicle’s behavior was characterized using a simplified Fossen model with parameters identified via Least Squares estimation. Multiple motion controllers, including velocity, position, trajectory tracking, and path guidance, were implemented and evaluated in a variety of wave and wind scenarios designed to test the full vehicle dynamics and closed-loop behavior. In addition to extending the VRX simulator, this work introduces a new USV model, a calibrated thrust response, and a set of model-based controllers validated in high-fidelity marine conditions. The resulting framework constitutes a reproducible and extensible resource for the marine robotics community, with direct applications in robotic education, perception, and advanced control systems.
| Original language | English |
|---|---|
| Article number | 147 |
| Journal | Robotics |
| Volume | 14 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2025 |
Bibliographical note
Publisher Copyright:© 2025 by the authors.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 14 Life Below Water
Keywords
- dynamic model identification
- multimode model-based control
- open-source simulation framework
- ROS integration
- Unmanned Surface Vehicles (USVs)
- VRX environment extension
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver