Autonomous Robotic Inspection for Remote Inspection Technique Systems: A Review

Author:

Andersen RasmusORCID,Brogaard RuneORCID,Boukas EvangelosORCID

Abstract

Due to the harsh environment and heavy use that modern marine vessels are subjected to, they are required to undergo periodic inspections to determine their current condition. The use of autonomous remote inspection systems can alleviate some of the dangers and shortcomings associated with manual inspection. While there has been research on the use of robotic platforms, none of the works in the literature evaluates the current state of the art with respect to the specifications of the classification societies, who are the most important stakeholders among the end users. The aim of this paper is to provide an overview of the existing literature and evaluate the works individually in collaboration with classification societies. The papers included in this review are either directly developed for, or have properties potentially transferable to, the marine vessel inspection process. To structure the review, an expertise-engineering separation is proposed based on the contributions of the individual paper. This separation shows which part of the inspection process has received the most attention, as well as where the shortcomings of each approach lay. The findings in this review indicate that while there are promising approaches, according to our metrics there is still a gap between the classification societies’ requirements and the state of the art. Our results indicate that, even though there is a lot of quality work in the literature, there is a lack of integrated development activities that achieve a level of completeness sufficient for the classification societies to confidently use them.

Publisher

Field Robotics Publication Society

Subject

Surgery,Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability,Civil and Structural Engineering,Management, Monitoring, Policy and Law,Pollution,Geography, Planning and Development,Agronomy and Crop Science,Development,Renewable Energy, Sustainability and the Environment,Renewable Energy, Sustainability and the Environment,Building and Construction,Architecture,Civil and Structural Engineering,Waste Management and Disposal,Ceramics and Composites,General Environmental Science,Development,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Energy Engineering and Power Technology,Water Science and Technology,Environmental Science (miscellaneous),Renewable Energy, Sustainability and the Environment,Economics, Econometrics and Finance (miscellaneous),Finance,Business and International Management

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Autonomous GPU-based UAS for inspection of confined spaces: Application to marine vessel classification;Robotics and Autonomous Systems;2024-02

2. Deep stochastic image segmentation for autonomous robotic inspection;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

3. Domain adaptation method for semantic segmentation in marine vessel inspection;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

4. Online learning for obstacle detection in construction for a multi-robot setting;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

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