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Enhanced Human-Machine Interaction by Fuzzy Logic in Semi-autonomous Maritime Operations

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 784)

Abstract

Advanced autonomous maritime operations are today an emerging academic field, where the implementation of autonomous or semi-autonomous control, support and maintenance systems. The semi-autonomous operations often require a complex interaction between human knowledge and experience as well as suitable intelligent based programs. In this simulated approach of a ship’s berthing operation, the captains’ experience and knowledge is the basis for training the fuzzy logic system. The human-machine interaction can further be enhanced by a second fuzzy logic system to feedback the out-put fuzzy logic signal and adjust the berthing maneuver to find near-optimal solutions. The paper will present an Artificial Intelligent based semi-autonomous solution in maritime operations and discuss the related human factors as well as the sensors needed to define the decision support system for ship berthing operation and demonstrating by a proposed fuzzy logic-based solution.

Keywords

Artificial intelligence Human-systems integration Enhanced fuzzy logic Maritime operations Autonomous ships Decision support systems 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.UiT The Arctic University of NorwayTromsøNorway

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