This paper presents a fully integrated vision-based framework for real-time and robust localization, autonomous navigation, and mapping for unmanned underwater vehicles (UUVs) in dynamic, visually challenging environments. The proposed pipeline enables both net-relative and global localization while generating continuous 3D maps of the surroundings in real-time. The framework was validated on synthetic datasets with ground truth and tested onboard an UUV during autonomous net-relative navigation experiments. Results demonstrate real-time performance and enhanced robustness, supporting vision-driven autonomous navigation and enabling the field deployment of marine robots for critical inspection and mapping tasks in complex underwater environments.
Abstract This paper examines the design, testing, and implementation of a next-generation, electric work class remotely operated vehicle (ROV) developed using a reliability-based framework. Drawing on extensive field data, laboratory endurance trials, and system-level modeling, the work evaluates how electrification can improve subsea reliability, reduce risk and size of hydraulic leaks, and increase efficiency compared to traditional hydraulic systems used on ROVs in offshore operations. The approach combines operational feedback, reliability modeling, and stress/endurance testing to qualify electric propulsion, power, and control systems for deepwater deployment. Field data from hydraulic ROV fleets established representative load profiles, which guided the development of accelerated stress cycles for endurance testing. Continuous monitoring with edge-based data capture enabled real-time performance evaluation and predictive maintenance modeling. Subsystem designs were validated under hydrostatic pressure and extended-duration tank trials. These procedures ensured that new electric ROV architectures could be benchmarked against hydraulic baselines while demonstrating potential for longer maintenance-free deployments and reduced operational risk. Testing to date has demonstrated that this new electric ROV design can deliver higher efficiency and operational flexibility than typical hydraulic work class systems. Propulsion efficiency increased from ~40% in hydraulic systems to >65% in electric systems, contributing to an estimated >40% reduction in surface power demand and associated vessel fuel consumption. Endurance testing is continuing to validate 30-day, maintenance-free deployment objectives. Reliability modeling predicts an approximately 11–21% absolute improvement in 28-day drill-support mission reliability (90% confidence interval) for the 2024 IMCA Class IIIB Electric Test ROV (ETV) electric architecture relative to a hydraulic work class ROV baseline. Data collection during testing provided performance baselines for predictive maintenance and established a digital archive for linking event logs, operational data, and maintenance history. These findings indicate that electric ROV architectures will achieve longer continuous dive times and reduce unplanned downtime. Compared with earlier generations of electric systems, this design includes improved pressure-tolerant electronics, fault isolation capability, and plug-and-play modularity for faster offshore reconfiguration. Electric power distribution and ethernet communications introduce flexibility to enhance subsea situational awareness through additional sensors and cameras positioned to provide 360-degree spherical awareness for pilot assistance. The conclusions suggest that electrification can fundamentally reshape ROV deployment strategies, vessel requirements, and offshore operations planning. This paper introduces new insights into the design and qualification of electric work class ROVs (WROVs), highlighting the integration of reliability engineering, pressure-tolerant electronics, and extended-duration endurance testing. The results expand industry knowledge by demonstrating how electrification not only improves subsea efficiency and reliability but also enables predictive maintenance strategies and new operational models for offshore intervention. This information benefits operators, vessel contractors, and drill-rig operators by validating the value of Electric Work Class ROVs. It outlines a process for an ROV manufacturer and operator to design and develop of an Electric WROV, and assesses the results of that design and testing relative to the values identified.
The optimum design of a three-phase induction motor using specific material is very important factor to be considered. Due to the small diameter of submersible motors many variables are associated with lengthy calculations. The material used for the core designing is the eminent factor for the flux distribution in any rotating machine. By choosing the material with good magnetic characteristics and high magnetic susceptibility better results can be obtained. In this paper five different materials have been used for the analyzation of results of three phase submersible induction motor using ANSYS RMxprt software. It also presents the simulation results along with 2-D and 3-D geometry using Ansys Maxwell. The efficacy of five different materials is based on comparative discussion in the field of power factor, efficiency, Slip and core losses keeping the other parameters constant. The study shows the role of core material in electric machine design and their affects is calculated
