Design and validation of an unmanned surface vehicle simulation model

Heins, Peter H.; Jones, Bernard J. T.; Taunton, D.J.

doi:10.1016/j.apm.2017.02.028

Cited by 24 publications

(13 citation statements)

References 22 publications

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“…Heins et al. (2017) developed a simulator comprising a sea‐surface wave environment model, a 6 degree of freedom nonlinear unified seakeeping and maneuvering boat dynamics model, an actuation dynamics model, an autopilot, and an interface with an autonomy management system. The purpose of this simulation model is to test and validate a USV during the design phase.…”

Section: Literature Reviewmentioning

confidence: 99%

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Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

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The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define 10 thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. Although our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote‐controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water‐borne transport and logistics using autonomous vessels.

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Section: Literature Reviewmentioning

confidence: 99%

“…Rather than directly studying the design of the autonomous vessel, Heins et al. (2017) presented a multiphysics simulation model to evaluate the design of an autonomy management system and reduce the need for real‐world trials.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Liu et al (2017b) introduced an original design of the intelligent navigation system for a USV which is implemented and tested on a prototype. Rather than directly studying the design of the autonomous vessel, Heins et al (2017) presented a multiphysics simulation model to evaluate the design of an autonomy management system and reduce the need for real-world trials. Innovation, aimed to study the specification and preliminary designs for the next generation of advanced ship solutions.…”

Section: • Group Controlmentioning

confidence: 99%

Autonomous Vessels: State of the Art and Potential Opportunities in Logistics

Góez

Guajardo

et al. 2019

SSRN Journal

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The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define nine thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. While our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote-controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water-borne transport and logistics using autonomous vessels.

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“…In the context of multi-surface vehicles' modeling and design [17][18][19], an unmanned surface vehicles (USVs) system is one of the development trends of modern weapon equipment [20].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Based Intelligent Training System for Unmanned Surface Vehicles

et al. 2019

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The modeling and design of multi-agent systems is imperative for applications in the evolving intelligence of unmanned systems. In this paper, we propose a multi-agent system design that is used to build a system for training a team of unmanned surface vehicles (USVs) where no historical data concerning the behavior is available. In this approach, agents are built as the physical controller of each USV and their cooperative decisions used for the USVs’ group coordination. To make our multi-agent system intelligently coordinate USVs, we built a multi-agent-based learning system. First, an agent-based data collection platform is deployed to gather competition data from agents’ observation for on-line learning tasks. Second, we design a genetic-based fuzzy rule training algorithm that is capable of optimizing agents’ coordination decisions in an accumulated manner. The simulation results of this study demonstrate that our proposed training approach is feasible and able to converge to a stable action selection policy towards efficient multi-USVs’ cooperative decision making.

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Design and validation of an unmanned surface vehicle simulation model

Cited by 24 publications

References 22 publications

Autonomous vessels: state of the art and potential opportunities in logistics

Autonomous vessels: state of the art and potential opportunities in logistics

Autonomous Vessels: State of the Art and Potential Opportunities in Logistics

A Multi-Agent Based Intelligent Training System for Unmanned Surface Vehicles

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