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ISHIBASHI Atsushi

Job title: Associate Professor
Department: Department of Maritime Systems Engineering
Degree: Doctor (Engineering)
Major: Frontier Technology (Aerospace Engineering, Marine and Maritime Engineering) / Marine engineering

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Researcher ID Researchmap OACIS著者情報

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Research Areas 【 display / non-display 】

  • Frontier Technology (Aerospace Engineering, Marine and Maritime Engineering) / Marine engineering

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

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Papers 【 display / non-display 】

  • Quantitative evaluation of full-scale ship maneuvering characteristics during berthing and unberthing

    Agnes N. Mwange, Yoshiki Miyauchi, Taichi Kambara, Hiroaki Koike, Kazuyoshi Hosogaya, Atsushi Ishibashi, Atsuo Maki , 2025.10

    Journal of Marine Science and Technology

  • 2025S-OS1-10 Quantification of elemental maneuvering based on time series of maneuvering motion by skilled operators

    Suyama Rin, Wakita Kouki, Ishibashi Atsushi, Kusumoto Tatsuya, Maki Atsuo , 2025.05

    Conference Proceedings The Japan Society of Naval Architects and Ocean Engineers

    DOI

  • 3D Environmental Map for Navigational Safety in Autonomous Ship Operations

    Ayong Yang, Atsushi Ishibashi, Ryota Imai, Tsuyoshi MIYASHITA, Tadasuke FURUYA , 2025.02

    Springer Proceedings of Tenth International Congress on Information and Communication Technology ICICT 2025, London, Volume 3

  • Design and Implementation of Ship Navigational Information System using Smartphone Sensor Data

    Ryota IMAI, Atsushi Ishibashi,Ayoung YANG,Tsuyoshi MIYASHITA,Tadasuke FURUYA , 2025.02

    Springer Proceedings of Tenth International Congress on Information and Communication Technology ICICT 2025, London, Volume 3

  • Development of an Autonomous Navigation System for Small Vessels Using Remote Control

    Ayong Yang, Atsushi Ishibashi, Ryota Imai, Tadasuke FURUYA , 2024.07

    IEEE Xplorer

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Grant-in-Aid for Scientific Research 【 display / non-display 】

  • Research on Establlshment of Safety Evaluation Methods for Autonomous Navigation System

    Project Period (FY)： 2025/04  -  2028/03  Investigator(s): 古川 芳孝

    Grant-in-Aid for Scientific Research(B)  Co-Investigator  25K01437 

  • Development of Prediction Model of Ship Manoeuvring Motion using Recurrent Neural Network

    Project Period (FY)： 2021/04  -  2024/03  Investigator(s): Furukawa Yoshitaka

    Grant-in-Aid for Scientific Research(B)  Co-Investigator  21H01550 

    Accurate simulations of ship manoeuvring motions are essential to develop control systems for autonomous ships. However, mathematical model of hydrodynamic forces acting on a ship hull using hydrodynamic coefficients cannot be applied to the manoeuvring motion of a ship navigating at low speed in restricted water area. In this research, instead of the conventional prediction method of ship manoeuvring motion by solving the equations of motion of a ship with hydrodynamic coefficients, a recurrent neural network which is a type of deep learning technology is applied to the time series data of manoeuvring motion to predict ship manoeuvring motion based on input such as rudder angle.

  • Development of Algorithm for Ship Handling Decision using Deep Reinforcement Learning

    Project Period (FY)： 2018/04  -  2021/03  Investigator(s): Furukawa Yoshitaka

    Grant-in-Aid for Scientific Research(B)  Co-Investigator  18H01642 

    In order to realize autonomous ships, it is necessary to develop an algorithm to properly evaluate circumstance around an own ship such as weather conditions, states of relative ships and so on and to make a decision to navigate the own ship safely changing her course and speed. In this research, an algorithm which can make a ship possible to navigate autonomously considering various complicated conditions around a ship by introducing deep reinforcement learning were developed. Furthermore, a model ship control system which can be used to evaluate the performance of the developed navigation algorithm was also developed. The manoeuvring motion of a model ship can be controlled based on information such as model ship’s position, heading angle, speed, yaw rate and so on.

  • 船舶操縦者の行動特性に基づく着離桟操船支援システムの開発

    Project Period (FY)： 2015/10  -  2018/03 

    Grant-in-Aid for Scientific Research(C)  Principal Investigator  15K01223 

  • 移動体オペレータの行動特性から観た船舶運航安全性評価に関する研究

    Project Period (FY)： 2011/05  -  2013/03 

    Grant-in-Aid for Scientific Research(C)  Principal Investigator  23510199 

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Lesson Subject 【 display / non-display 】

  • Lesson Subject（Undergraduate）

    商船科指導法Ⅰ

  • Kinetics of floating body motion

  • 浮体運動論

  • 短艇実習

  • Human Resource Management

  • 組織管理論

  • Ship operation and Ship Manoeuvrability

  • 船舶運航論

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