aiqbench analysis
The Mini-Girona I-AUV demonstrates how integrating AI-driven processing and stereo vision into affordable platforms can democratize advanced underwater robotics research. By bridging the gap between high-cost specialized vehicles and basic ROVs, this system enables broader educational access to complex autonomous navigation and intervention tasks. The platform's performance in the RAMI 2025 competition highlights the viability of cost-effective solutions for real-world marine applications without relying on quantum or general-purpose AI models.
Advancing Accessible Underwater Robotics: The Mini-Girona I-AUV at RAMI 2025
arXiv:2609.02605v1 Announce Type: new Abstract: The Mini-Girona Intervention Autonomous Underwater Vehicle (I-AUV) represents an advancement in accessible underwater robotics, designed to bridge the gap between costly, specialized research AUVs and basic Remotely Operated Vehicles (ROVs). Developed with a focus on affordability and usability, the Mini-Girona, priced at approximately $50,000, integrates advanced components such as a 5-DOF manipulator arm, stereo vision, and AI-driven processing for autonomous navigation and intervention tasks. This paper presents the design and development of the Mini-Girona, detailing its performance during the RAMI 2025 student competition. Despite challenges such as thermal management issues and restricted team access, the Mini-Girona achieved second place overall, excelling in vision-based perception and intervention tasks. This work highlights the platform's potential as a tool for underwater robotics research and education, fostering innovation in real-world underwater applications.
Abstract:The Mini-Girona Intervention Autonomous Underwater Vehicle (I-AUV) represents an advancement in accessible underwater robotics, designed to bridge the gap between costly, specialized research AUVs and basic Remotely Operated Vehicles (ROVs). Developed with a focus on affordability and usability, the Mini-Girona, priced at approximately $50,000, integrates advanced components such as a 5-DOF manipulator arm, stereo vision, and AI-driven processing for autonomous navigation and intervention tasks. This paper presents the design and development of the Mini-Girona, detailing its performance during the RAMI 2025 student competition. Despite challenges such as thermal management issues and restricted team access, the Mini-Girona achieved second place overall, excelling in vision-based perception and intervention tasks. This work highlights the platform's potential as a tool for underwater robotics research and education, fostering innovation in real-world underwater applications.
Robotics (cs.RO)
arXiv:2609.02605 [cs.RO]
(or arXiv:2609.02605v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.02605 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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