71 citations · 251 across the 26 of their papers we have counts for
26 papers
Development and Identification of a Linear Low-Speed Ship Maneuvering Model from Full-Scale Data
Agnes N. Mwange, Taichi Kambara, Kouki Wakita +2
Despite significant technological progress, the realization of fully autonomous berthing and unberthing remains a significant challenge. One of the primary obstacles is the complex…
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks
Kouki Wakita, Youhei Akimoto, Atsuo Maki
In the field of Maritime Autonomous Surface Ships (MASS), the accurate modeling of ship maneuvering motion for harbor maneuvers is a crucial technology. Non-parametric system ident…
Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships
Kouki Wakita, Fuyuki Hane, Takeshi Sekiguchi +4
In order to understand the appropriate field of view (FOV) size of celestial automatic navigation systems for surface ships, we investigate the variations of measurement accuracy o…
Quantitative Evaluation of Full-Scale Ship Maneuvering Characteristics During Berthing and Unberthing
Agnes N. Mwange, Yoshiki Miyauchi, Taichi Kambara +3
Leveraging empirical data is crucial in the development of accurate and reliable virtual models for the advancement of autonomous ship technologies and the optimization of port ope…
Perspective on the Marine Simulator for Autonomous Vessel Development
Ryouhei Sawada, Yoshiki Miyauchi, Suisei Wada +5
There is a growing demand for simulators for the research and development of maritime autonomous surface ships (MASS) and the approval of autonomous navigation algorithms. Simulato…
Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control
Amane Sakanashi, Rin Suyama, Atsuo Maki +1
Research on vessel automation and autonomy is currently being conducted by various countries and institutions. Safe and accurate ship control algorithms are crucial to realize auto…
Validation of Theoretical Estimation Methods and Maximum Value Distribution Calculation for Parametric Roll Amplitude in Long-Crested Irregular Waves
Keiji Katsumura, Leo Dostal, Taiga Kono +3
Parametric rolling is a parametric excitation phenomenon caused by GM variation in waves. There are a lot of studies of the estimation the conditions, the occurrence, and the ampli…
Review of the analytical prediction method of surf-riding threshold in following sea, and its relation to IMO second-generation intact stability criteria
Atsuo Maki, Masahiro Sakai, Tetsushi Ueta
In high-speed maritime operations, the broaching phenomenon can pose a significant risk when navigating in following/quartering seas. The occurrence of this phenomenon can result i…
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control
Agnes Ngina Mwange, Dimas Maulana Rachman, Rin Suyama +1
Autonomous ships are essentially designed and equipped to perceive their internal and external environment and subsequently perform appropriate actions depending on the predetermin…
Approximate probability density function for nonlinear surging in irregular following seas
Atsuo Maki, Yuuki Maruyama, Keiji Katsumura +1
The broaching that follows the surf-riding is a dangerous phenomenon that can lead to the capsizing of a vessel due to its violent yaw motion. Most of the previous studies on surf-…
Parameter fine-tuning method for MMG model using real-scale ship data
Rin Suyama, Rintaro Matsushita, Ryo Kakuta +2
In this paper, a fine-tuning method of the parameters in the MMG model for the real-scale ship is proposed. In the proposed method, all of the arbitrarily indicated target paramete…
Nonlinear steering control under input magnitude and rate constraints with exponential convergence
Rin Suyama, Satoshi Satoh, Atsuo Maki
A ship steering control is designed for a nonlinear maneuvering model whose rudder manipulation is constrained in both magnitude and rate. In our method, the tracking problem of th…
Comparison of stochastic stability boundaries for parametrically forced systems with application to ship rolling motion
Atsuo Maki, Yuuki Maruyama, Yaliu Liu +1
Numerous accidents caused by parametric rolling have been reported on container ships and pure car carriers (PCCs). A number of theoretical studies have been performed to estimate…
Data Augmentation Methods of Dynamic Model Identification for Harbor Maneuvers using Feedforward Neural Network
Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto +1
A dynamic model for an automatic berthing and unberthing controller has to estimate harbor maneuvers, which include berthing, unberthing, approach maneuvers to berths, and entering…
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min--Max Optimization and its Application to Berthing Control Tasks
Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki +3
In this study, we consider a continuous min--max optimization problem whose objective function is a black-box. We propose a…
Ship trajectory planning method for reproducing human operation at ports
Rin Suyama, Yoshiki Miyauchi, Atsuo Maki
Among ship maneuvers, berthing/unberthing maneuvers are one of the most challenging and stressful phases for captains. Concerning burden reduction on ship operators and preventing…
Development of a Mathematical Model for Harbor-Maneuvers to Realize Modeling Automation
Yoshiki Miyauchi, Youhei Akimoto, Naoya Umeda +1
A simulation environment of harbor maneuvers is critical for developing automatic berthing. Dynamic models are widely used to estimate harbor maneuvers. However, human decision-mak…
Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing)
Dimas M. Rachman, Yusuke Aoki, Yoshiki Miyauchi +2
A VecTwin rudder system comprises twin fishtail rudders with reaction fins to increase its performance. With a constant propeller revolution number, the vessel can execute special…
Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning
Kouki Wakita, Youhei Akimoto, Dimas M. Rachman +3
Automation of berthing maneuvers in shipping is a pressing issue as the berthing maneuver is one of the most stressful tasks seafarers undertake. Berthing control problems are ofte…
Stochastic Assessment of Acceleration Probability Density Function for Parametric Rolling Using Moment Method
Yuuki Maruyama, Atsuo Maki, Leo Dostal +1
Container ships encounter large roll angles and high acceleration, and container loss remains a problem. This study proposes a method for calculating the probability density functi…
Warm-started Semionline Trajectory Planner for Ship's Automatic Docking (Berthing)
Dimas M. Rachman, Atsuo Maki, Yoshiki Miyauchi +1
In the usual framework of control, a reference trajectory is needed as the set point for a feedback controller. This reference trajectory can be generated by solving a trajectory o…
Application of Linear Filter and Moment Equation for Parametric Rolling in Irregular Longitudinal Waves
Yuuki Maruyama, Atsuo Maki, Leo Dostal +1
Parametric rolling is one of the dangerous dynamic phenomena. In order to discuss the safety of a vessel when a dangerous phenomenon occurs, it is important to estimate the probabi…
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES
Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda +2
Accurate maneuvering estimation is essential to establish autonomous berthing control. The system-based mathematical model is widely used to estimate the ship's maneuver. Commonly,…
On Neural Network Identification for Low-Speed Ship Maneuvering Model
Kouki Wakita, Atsuo Maki, Umeda Naoya +4
Several studies on ship maneuvering models have been conducted using captive model tests or computational fluid dynamics (CFD) and physical models, such as the maneuvering modeling…